Training in progress epoch 0

README.md

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+---
+license: other
+base_model: nvidia/mit-b0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: IslemTouati/scene_segmentation
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# IslemTouati/scene_segmentation
+
+This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: nan
+- Validation Loss: nan
+- Validation Mean Iou: 0.0038
+- Validation Mean Accuracy: 0.0238
+- Validation Overall Accuracy: 0.1957
+- Validation Accuracy Wall: 1.0
+- Validation Accuracy Building: 0.0
+- Validation Accuracy Sky: 0.0
+- Validation Accuracy Floor: 0.0
+- Validation Accuracy Tree: 0.0
+- Validation Accuracy Ceiling: 0.0
+- Validation Accuracy Road: nan
+- Validation Accuracy Bed : 0.0
+- Validation Accuracy Windowpane: 0.0
+- Validation Accuracy Grass: 0.0
+- Validation Accuracy Cabinet: 0.0
+- Validation Accuracy Sidewalk: 0.0
+- Validation Accuracy Person: 0.0
+- Validation Accuracy Earth: nan
+- Validation Accuracy Door: 0.0
+- Validation Accuracy Table: 0.0
+- Validation Accuracy Mountain: 0.0
+- Validation Accuracy Plant: 0.0
+- Validation Accuracy Curtain: 0.0
+- Validation Accuracy Chair: 0.0
+- Validation Accuracy Car: 0.0
+- Validation Accuracy Water: 0.0
+- Validation Accuracy Painting: nan
+- Validation Accuracy Sofa: nan
+- Validation Accuracy Shelf: 0.0
+- Validation Accuracy House: nan
+- Validation Accuracy Sea: nan
+- Validation Accuracy Mirror: nan
+- Validation Accuracy Rug: 0.0
+- Validation Accuracy Field: nan
+- Validation Accuracy Armchair: nan
+- Validation Accuracy Seat: 0.0
+- Validation Accuracy Fence: nan
+- Validation Accuracy Desk: 0.0
+- Validation Accuracy Rock: nan
+- Validation Accuracy Wardrobe: nan
+- Validation Accuracy Lamp: nan
+- Validation Accuracy Bathtub: nan
+- Validation Accuracy Railing: nan
+- Validation Accuracy Cushion: nan
+- Validation Accuracy Base: nan
+- Validation Accuracy Box: nan
+- Validation Accuracy Column: 0.0
+- Validation Accuracy Signboard: 0.0
+- Validation Accuracy Chest of drawers: nan
+- Validation Accuracy Counter: 0.0
+- Validation Accuracy Sand: nan
+- Validation Accuracy Sink: nan
+- Validation Accuracy Skyscraper: nan
+- Validation Accuracy Fireplace: 0.0
+- Validation Accuracy Refrigerator: nan
+- Validation Accuracy Grandstand: 0.0
+- Validation Accuracy Path: nan
+- Validation Accuracy Stairs: nan
+- Validation Accuracy Runway: nan
+- Validation Accuracy Case: nan
+- Validation Accuracy Pool table: nan
+- Validation Accuracy Pillow: nan
+- Validation Accuracy Screen door: nan
+- Validation Accuracy Stairway: 0.0
+- Validation Accuracy River: nan
+- Validation Accuracy Bridge: nan
+- Validation Accuracy Bookcase: nan
+- Validation Accuracy Blind: nan
+- Validation Accuracy Coffee table: nan
+- Validation Accuracy Toilet: nan
+- Validation Accuracy Flower: nan
+- Validation Accuracy Book: 0.0
+- Validation Accuracy Hill: nan
+- Validation Accuracy Bench: nan
+- Validation Accuracy Countertop: 0.0
+- Validation Accuracy Stove: 0.0
+- Validation Accuracy Palm: nan
+- Validation Accuracy Kitchen island: nan
+- Validation Accuracy Computer: nan
+- Validation Accuracy Swivel chair: 0.0
+- Validation Accuracy Boat: nan
+- Validation Accuracy Bar: nan
+- Validation Accuracy Arcade machine: nan
+- Validation Accuracy Hovel: nan
+- Validation Accuracy Bus: nan
+- Validation Accuracy Towel: 0.0
+- Validation Accuracy Light: nan
+- Validation Accuracy Truck: nan
+- Validation Accuracy Tower: nan
+- Validation Accuracy Chandelier: 0.0
+- Validation Accuracy Awning: 0.0
+- Validation Accuracy Streetlight: nan
+- Validation Accuracy Booth: nan
+- Validation Accuracy Television receiver: nan
+- Validation Accuracy Airplane: nan
+- Validation Accuracy Dirt track: nan
+- Validation Accuracy Apparel: nan
+- Validation Accuracy Pole: nan
+- Validation Accuracy Land: nan
+- Validation Accuracy Bannister: nan
+- Validation Accuracy Escalator: nan
+- Validation Accuracy Ottoman: nan
+- Validation Accuracy Bottle: nan
+- Validation Accuracy Buffet: nan
+- Validation Accuracy Poster: nan
+- Validation Accuracy Stage: nan
+- Validation Accuracy Van: nan
+- Validation Accuracy Ship: nan
+- Validation Accuracy Fountain: nan
+- Validation Accuracy Conveyer belt: nan
+- Validation Accuracy Canopy: nan
+- Validation Accuracy Washer: nan
+- Validation Accuracy Plaything: nan
+- Validation Accuracy Swimming pool: nan
+- Validation Accuracy Stool: nan
+- Validation Accuracy Barrel: nan
+- Validation Accuracy Basket: nan
+- Validation Accuracy Waterfall: nan
+- Validation Accuracy Tent: nan
+- Validation Accuracy Bag: 0.0
+- Validation Accuracy Minibike: nan
+- Validation Accuracy Cradle: nan
+- Validation Accuracy Oven: nan
+- Validation Accuracy Ball: nan
+- Validation Accuracy Food: nan
+- Validation Accuracy Step: nan
+- Validation Accuracy Tank: nan
+- Validation Accuracy Trade name: 0.0
+- Validation Accuracy Microwave: nan
+- Validation Accuracy Pot: nan
+- Validation Accuracy Animal: 0.0
+- Validation Accuracy Bicycle: nan
+- Validation Accuracy Lake: nan
+- Validation Accuracy Dishwasher: nan
+- Validation Accuracy Screen: nan
+- Validation Accuracy Blanket: nan
+- Validation Accuracy Sculpture: 0.0
+- Validation Accuracy Hood: nan
+- Validation Accuracy Sconce: nan
+- Validation Accuracy Vase: 0.0
+- Validation Accuracy Traffic light: nan
+- Validation Accuracy Tray: nan
+- Validation Accuracy Ashcan: nan
+- Validation Accuracy Fan: nan
+- Validation Accuracy Pier: nan
+- Validation Accuracy Crt screen: nan
+- Validation Accuracy Plate: nan
+- Validation Accuracy Monitor: nan
+- Validation Accuracy Bulletin board: nan
+- Validation Accuracy Shower: nan
+- Validation Accuracy Radiator: nan
+- Validation Accuracy Glass: nan
+- Validation Accuracy Clock: nan
+- Validation Accuracy Flag: nan
+- Validation Iou Wall: 0.1579
+- Validation Iou Building: 0.0
+- Validation Iou Sky: 0.0
+- Validation Iou Floor: 0.0
+- Validation Iou Tree: 0.0
+- Validation Iou Ceiling: 0.0
+- Validation Iou Road: nan
+- Validation Iou Bed : 0.0
+- Validation Iou Windowpane: 0.0
+- Validation Iou Grass: 0.0
+- Validation Iou Cabinet: 0.0
+- Validation Iou Sidewalk: 0.0
+- Validation Iou Person: 0.0
+- Validation Iou Earth: nan
+- Validation Iou Door: 0.0
+- Validation Iou Table: 0.0
+- Validation Iou Mountain: 0.0
+- Validation Iou Plant: 0.0
+- Validation Iou Curtain: 0.0
+- Validation Iou Chair: 0.0
+- Validation Iou Car: 0.0
+- Validation Iou Water: 0.0
+- Validation Iou Painting: nan
+- Validation Iou Sofa: nan
+- Validation Iou Shelf: 0.0
+- Validation Iou House: nan
+- Validation Iou Sea: nan
+- Validation Iou Mirror: nan
+- Validation Iou Rug: 0.0
+- Validation Iou Field: nan
+- Validation Iou Armchair: nan
+- Validation Iou Seat: 0.0
+- Validation Iou Fence: nan
+- Validation Iou Desk: 0.0
+- Validation Iou Rock: nan
+- Validation Iou Wardrobe: nan
+- Validation Iou Lamp: nan
+- Validation Iou Bathtub: nan
+- Validation Iou Railing: nan
+- Validation Iou Cushion: nan
+- Validation Iou Base: nan
+- Validation Iou Box: nan
+- Validation Iou Column: 0.0
+- Validation Iou Signboard: 0.0
+- Validation Iou Chest of drawers: nan
+- Validation Iou Counter: 0.0
+- Validation Iou Sand: nan
+- Validation Iou Sink: nan
+- Validation Iou Skyscraper: nan
+- Validation Iou Fireplace: 0.0
+- Validation Iou Refrigerator: nan
+- Validation Iou Grandstand: 0.0
+- Validation Iou Path: nan
+- Validation Iou Stairs: nan
+- Validation Iou Runway: nan
+- Validation Iou Case: nan
+- Validation Iou Pool table: nan
+- Validation Iou Pillow: nan
+- Validation Iou Screen door: nan
+- Validation Iou Stairway: 0.0
+- Validation Iou River: nan
+- Validation Iou Bridge: nan
+- Validation Iou Bookcase: nan
+- Validation Iou Blind: nan
+- Validation Iou Coffee table: nan
+- Validation Iou Toilet: nan
+- Validation Iou Flower: nan
+- Validation Iou Book: 0.0
+- Validation Iou Hill: nan
+- Validation Iou Bench: nan
+- Validation Iou Countertop: 0.0
+- Validation Iou Stove: 0.0
+- Validation Iou Palm: nan
+- Validation Iou Kitchen island: nan
+- Validation Iou Computer: nan
+- Validation Iou Swivel chair: 0.0
+- Validation Iou Boat: nan
+- Validation Iou Bar: nan
+- Validation Iou Arcade machine: nan
+- Validation Iou Hovel: nan
+- Validation Iou Bus: nan
+- Validation Iou Towel: 0.0
+- Validation Iou Light: nan
+- Validation Iou Truck: nan
+- Validation Iou Tower: nan
+- Validation Iou Chandelier: 0.0
+- Validation Iou Awning: 0.0
+- Validation Iou Streetlight: nan
+- Validation Iou Booth: nan
+- Validation Iou Television receiver: nan
+- Validation Iou Airplane: nan
+- Validation Iou Dirt track: nan
+- Validation Iou Apparel: nan
+- Validation Iou Pole: nan
+- Validation Iou Land: nan
+- Validation Iou Bannister: nan
+- Validation Iou Escalator: nan
+- Validation Iou Ottoman: nan
+- Validation Iou Bottle: nan
+- Validation Iou Buffet: nan
+- Validation Iou Poster: nan
+- Validation Iou Stage: nan
+- Validation Iou Van: nan
+- Validation Iou Ship: nan
+- Validation Iou Fountain: nan
+- Validation Iou Conveyer belt: nan
+- Validation Iou Canopy: nan
+- Validation Iou Washer: nan
+- Validation Iou Plaything: nan
+- Validation Iou Swimming pool: nan
+- Validation Iou Stool: nan
+- Validation Iou Barrel: nan
+- Validation Iou Basket: nan
+- Validation Iou Waterfall: nan
+- Validation Iou Tent: nan
+- Validation Iou Bag: 0.0
+- Validation Iou Minibike: nan
+- Validation Iou Cradle: nan
+- Validation Iou Oven: nan
+- Validation Iou Ball: nan
+- Validation Iou Food: nan
+- Validation Iou Step: nan
+- Validation Iou Tank: nan
+- Validation Iou Trade name: 0.0
+- Validation Iou Microwave: nan
+- Validation Iou Pot: nan
+- Validation Iou Animal: 0.0
+- Validation Iou Bicycle: nan
+- Validation Iou Lake: nan
+- Validation Iou Dishwasher: nan
+- Validation Iou Screen: nan
+- Validation Iou Blanket: nan
+- Validation Iou Sculpture: 0.0
+- Validation Iou Hood: nan
+- Validation Iou Sconce: nan
+- Validation Iou Vase: 0.0
+- Validation Iou Traffic light: nan
+- Validation Iou Tray: nan
+- Validation Iou Ashcan: nan
+- Validation Iou Fan: nan
+- Validation Iou Pier: nan
+- Validation Iou Crt screen: nan
+- Validation Iou Plate: nan
+- Validation Iou Monitor: nan
+- Validation Iou Bulletin board: nan
+- Validation Iou Shower: nan
+- Validation Iou Radiator: nan
+- Validation Iou Glass: nan
+- Validation Iou Clock: nan
+- Validation Iou Flag: nan
+- Epoch: 0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 6e-05, 'decay_steps': 40, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Validation Loss | Validation Mean Iou | Validation Mean Accuracy | Validation Overall Accuracy | Validation Accuracy Wall | Validation Accuracy Building | Validation Accuracy Sky | Validation Accuracy Floor | Validation Accuracy Tree | Validation Accuracy Ceiling | Validation Accuracy Road | Validation Accuracy Bed  | Validation Accuracy Windowpane | Validation Accuracy Grass | Validation Accuracy Cabinet | Validation Accuracy Sidewalk | Validation Accuracy Person | Validation Accuracy Earth | Validation Accuracy Door | Validation Accuracy Table | Validation Accuracy Mountain | Validation Accuracy Plant | Validation Accuracy Curtain | Validation Accuracy Chair | Validation Accuracy Car | Validation Accuracy Water | Validation Accuracy Painting | Validation Accuracy Sofa | Validation Accuracy Shelf | Validation Accuracy House | Validation Accuracy Sea | Validation Accuracy Mirror | Validation Accuracy Rug | Validation Accuracy Field | Validation Accuracy Armchair | Validation Accuracy Seat | Validation Accuracy Fence | Validation Accuracy Desk | Validation Accuracy Rock | Validation Accuracy Wardrobe | Validation Accuracy Lamp | Validation Accuracy Bathtub | Validation Accuracy Railing | Validation Accuracy Cushion | Validation Accuracy Base | Validation Accuracy Box | Validation Accuracy Column | Validation Accuracy Signboard | Validation Accuracy Chest of drawers | Validation Accuracy Counter | Validation Accuracy Sand | Validation Accuracy Sink | Validation Accuracy Skyscraper | Validation Accuracy Fireplace | Validation Accuracy Refrigerator | Validation Accuracy Grandstand | Validation Accuracy Path | Validation Accuracy Stairs | Validation Accuracy Runway | Validation Accuracy Case | Validation Accuracy Pool table | Validation Accuracy Pillow | Validation Accuracy Screen door | Validation Accuracy Stairway | Validation Accuracy River | Validation Accuracy Bridge | Validation Accuracy Bookcase | Validation Accuracy Blind | Validation Accuracy Coffee table | Validation Accuracy Toilet | Validation Accuracy Flower | Validation Accuracy Book | Validation Accuracy Hill | Validation Accuracy Bench | Validation Accuracy Countertop | Validation Accuracy Stove | Validation Accuracy Palm | Validation Accuracy Kitchen island | Validation Accuracy Computer | Validation Accuracy Swivel chair | Validation Accuracy Boat | Validation Accuracy Bar | Validation Accuracy Arcade machine | Validation Accuracy Hovel | Validation Accuracy Bus | Validation Accuracy Towel | Validation Accuracy Light | Validation Accuracy Truck | Validation Accuracy Tower | Validation Accuracy Chandelier | Validation Accuracy Awning | Validation Accuracy Streetlight | Validation Accuracy Booth | Validation Accuracy Television receiver | Validation Accuracy Airplane | Validation Accuracy Dirt track | Validation Accuracy Apparel | Validation Accuracy Pole | Validation Accuracy Land | Validation Accuracy Bannister | Validation Accuracy Escalator | Validation Accuracy Ottoman | Validation Accuracy Bottle | Validation Accuracy Buffet | Validation Accuracy Poster | Validation Accuracy Stage | Validation Accuracy Van | Validation Accuracy Ship | Validation Accuracy Fountain | Validation Accuracy Conveyer belt | Validation Accuracy Canopy | Validation Accuracy Washer | Validation Accuracy Plaything | Validation Accuracy Swimming pool | Validation Accuracy Stool | Validation Accuracy Barrel | Validation Accuracy Basket | Validation Accuracy Waterfall | Validation Accuracy Tent | Validation Accuracy Bag | Validation Accuracy Minibike | Validation Accuracy Cradle | Validation Accuracy Oven | Validation Accuracy Ball | Validation Accuracy Food | Validation Accuracy Step | Validation Accuracy Tank | Validation Accuracy Trade name | Validation Accuracy Microwave | Validation Accuracy Pot | Validation Accuracy Animal | Validation Accuracy Bicycle | Validation Accuracy Lake | Validation Accuracy Dishwasher | Validation Accuracy Screen | Validation Accuracy Blanket | Validation Accuracy Sculpture | Validation Accuracy Hood | Validation Accuracy Sconce | Validation Accuracy Vase | Validation Accuracy Traffic light | Validation Accuracy Tray | Validation Accuracy Ashcan | Validation Accuracy Fan | Validation Accuracy Pier | Validation Accuracy Crt screen | Validation Accuracy Plate | Validation Accuracy Monitor | Validation Accuracy Bulletin board | Validation Accuracy Shower | Validation Accuracy Radiator | Validation Accuracy Glass | Validation Accuracy Clock | Validation Accuracy Flag | Validation Iou Wall | Validation Iou Building | Validation Iou Sky | Validation Iou Floor | Validation Iou Tree | Validation Iou Ceiling | Validation Iou Road | Validation Iou Bed  | Validation Iou Windowpane | Validation Iou Grass | Validation Iou Cabinet | Validation Iou Sidewalk | Validation Iou Person | Validation Iou Earth | Validation Iou Door | Validation Iou Table | Validation Iou Mountain | Validation Iou Plant | Validation Iou Curtain | Validation Iou Chair | Validation Iou Car | Validation Iou Water | Validation Iou Painting | Validation Iou Sofa | Validation Iou Shelf | Validation Iou House | Validation Iou Sea | Validation Iou Mirror | Validation Iou Rug | Validation Iou Field | Validation Iou Armchair | Validation Iou Seat | Validation Iou Fence | Validation Iou Desk | Validation Iou Rock | Validation Iou Wardrobe | Validation Iou Lamp | Validation Iou Bathtub | Validation Iou Railing | Validation Iou Cushion | Validation Iou Base | Validation Iou Box | Validation Iou Column | Validation Iou Signboard | Validation Iou Chest of drawers | Validation Iou Counter | Validation Iou Sand | Validation Iou Sink | Validation Iou Skyscraper | Validation Iou Fireplace | Validation Iou Refrigerator | Validation Iou Grandstand | Validation Iou Path | Validation Iou Stairs | Validation Iou Runway | Validation Iou Case | Validation Iou Pool table | Validation Iou Pillow | Validation Iou Screen door | Validation Iou Stairway | Validation Iou River | Validation Iou Bridge | Validation Iou Bookcase | Validation Iou Blind | Validation Iou Coffee table | Validation Iou Toilet | Validation Iou Flower | Validation Iou Book | Validation Iou Hill | Validation Iou Bench | Validation Iou Countertop | Validation Iou Stove | Validation Iou Palm | Validation Iou Kitchen island | Validation Iou Computer | Validation Iou Swivel chair | Validation Iou Boat | Validation Iou Bar | Validation Iou Arcade machine | Validation Iou Hovel | Validation Iou Bus | Validation Iou Towel | Validation Iou Light | Validation Iou Truck | Validation Iou Tower | Validation Iou Chandelier | Validation Iou Awning | Validation Iou Streetlight | Validation Iou Booth | Validation Iou Television receiver | Validation Iou Airplane | Validation Iou Dirt track | Validation Iou Apparel | Validation Iou Pole | Validation Iou Land | Validation Iou Bannister | Validation Iou Escalator | Validation Iou Ottoman | Validation Iou Bottle | Validation Iou Buffet | Validation Iou Poster | Validation Iou Stage | Validation Iou Van | Validation Iou Ship | Validation Iou Fountain | Validation Iou Conveyer belt | Validation Iou Canopy | Validation Iou Washer | Validation Iou Plaything | Validation Iou Swimming pool | Validation Iou Stool | Validation Iou Barrel | Validation Iou Basket | Validation Iou Waterfall | Validation Iou Tent | Validation Iou Bag | Validation Iou Minibike | Validation Iou Cradle | Validation Iou Oven | Validation Iou Ball | Validation Iou Food | Validation Iou Step | Validation Iou Tank | Validation Iou Trade name | Validation Iou Microwave | Validation Iou Pot | Validation Iou Animal | Validation Iou Bicycle | Validation Iou Lake | Validation Iou Dishwasher | Validation Iou Screen | Validation Iou Blanket | Validation Iou Sculpture | Validation Iou Hood | Validation Iou Sconce | Validation Iou Vase | Validation Iou Traffic light | Validation Iou Tray | Validation Iou Ashcan | Validation Iou Fan | Validation Iou Pier | Validation Iou Crt screen | Validation Iou Plate | Validation Iou Monitor | Validation Iou Bulletin board | Validation Iou Shower | Validation Iou Radiator | Validation Iou Glass | Validation Iou Clock | Validation Iou Flag | Epoch |
+|:----------:|:---------------:|:-------------------:|:------------------------:|:---------------------------:|:------------------------:|:----------------------------:|:-----------------------:|:-------------------------:|:------------------------:|:---------------------------:|:------------------------:|:------------------------:|:------------------------------:|:-------------------------:|:---------------------------:|:----------------------------:|:--------------------------:|:-------------------------:|:------------------------:|:-------------------------:|:----------------------------:|:-------------------------:|:---------------------------:|:-------------------------:|:-----------------------:|:-------------------------:|:----------------------------:|:------------------------:|:-------------------------:|:-------------------------:|:-----------------------:|:--------------------------:|:-----------------------:|:-------------------------:|:----------------------------:|:------------------------:|:-------------------------:|:------------------------:|:------------------------:|:----------------------------:|:------------------------:|:---------------------------:|:---------------------------:|:---------------------------:|:------------------------:|:-----------------------:|:--------------------------:|:-----------------------------:|:------------------------------------:|:---------------------------:|:------------------------:|:------------------------:|:------------------------------:|:-----------------------------:|:--------------------------------:|:------------------------------:|:------------------------:|:--------------------------:|:--------------------------:|:------------------------:|:------------------------------:|:--------------------------:|:-------------------------------:|:----------------------------:|:-------------------------:|:--------------------------:|:----------------------------:|:-------------------------:|:--------------------------------:|:--------------------------:|:--------------------------:|:------------------------:|:------------------------:|:-------------------------:|:------------------------------:|:-------------------------:|:------------------------:|:----------------------------------:|:----------------------------:|:--------------------------------:|:------------------------:|:-----------------------:|:----------------------------------:|:-------------------------:|:-----------------------:|:-------------------------:|:-------------------------:|:-------------------------:|:-------------------------:|:------------------------------:|:--------------------------:|:-------------------------------:|:-------------------------:|:---------------------------------------:|:----------------------------:|:------------------------------:|:---------------------------:|:------------------------:|:------------------------:|:-----------------------------:|:-----------------------------:|:---------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:-------------------------:|:-----------------------:|:------------------------:|:----------------------------:|:---------------------------------:|:--------------------------:|:--------------------------:|:-----------------------------:|:---------------------------------:|:-------------------------:|:--------------------------:|:--------------------------:|:-----------------------------:|:------------------------:|:-----------------------:|:----------------------------:|:--------------------------:|:------------------------:|:------------------------:|:------------------------:|:------------------------:|:------------------------:|:------------------------------:|:-----------------------------:|:-----------------------:|:--------------------------:|:---------------------------:|:------------------------:|:------------------------------:|:--------------------------:|:---------------------------:|:-----------------------------:|:------------------------:|:--------------------------:|:------------------------:|:---------------------------------:|:------------------------:|:--------------------------:|:-----------------------:|:------------------------:|:------------------------------:|:-------------------------:|:---------------------------:|:----------------------------------:|:--------------------------:|:----------------------------:|:-------------------------:|:-------------------------:|:------------------------:|:-------------------:|:-----------------------:|:------------------:|:--------------------:|:-------------------:|:----------------------:|:-------------------:|:-------------------:|:-------------------------:|:--------------------:|:----------------------:|:-----------------------:|:---------------------:|:--------------------:|:-------------------:|:--------------------:|:-----------------------:|:--------------------:|:----------------------:|:---------------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+| nan        | nan             | 0.0038              | 0.0238                   | 0.1957                      | 1.0                      | 0.0                          | 0.0                     | 0.0                       | 0.0                      | 0.0                         | nan                      | 0.0                      | 0.0                            | 0.0                       | 0.0                         | 0.0                          | 0.0                        | nan                       | 0.0                      | 0.0                       | 0.0                          | 0.0                       | 0.0                         | 0.0                       | 0.0                     | 0.0                       | nan                          | nan                      | 0.0                       | nan                       | nan                     | nan                        | 0.0                     | nan                       | nan                          | 0.0                      | nan                       | 0.0                      | nan                      | nan                          | nan                      | nan                         | nan                         | nan                         | nan                      | nan                     | 0.0                        | 0.0                           | nan                                  | 0.0                         | nan                      | nan                      | nan                            | 0.0                           | nan                              | 0.0                            | nan                      | nan                        | nan                        | nan                      | nan                            | nan                        | nan                             | 0.0                          | nan                       | nan                        | nan                          | nan                       | nan                              | nan                        | nan                        | 0.0                      | nan                      | nan                       | 0.0                            | 0.0                       | nan                      | nan                                | nan                          | 0.0                              | nan                      | nan                     | nan                                | nan                       | nan                     | 0.0                       | nan                       | nan                       | nan                       | 0.0                            | 0.0                        | nan                             | nan                       | nan                                     | nan                          | nan                            | nan                         | nan                      | nan                      | nan                           | nan                           | nan                       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0.0                           | nan                      | nan                        | 0.0                      | nan                               | nan                      | nan                        | nan                     | nan                      | nan                            | nan                       | nan                         | nan                                | nan                        | nan                          | nan                       | nan                       | nan                      | 0.1579              | 0.0                     | 0.0                | 0.0                  | 0.0                 | 0.0                    | nan                 | 0.0                 | 0.0                       | 0.0                  | 0.0                    | 0.0                     | 0.0                   | nan                  | 0.0                 | 0.0                  | 0.0                     | 0.0                  | 0.0                    | 0.0                  | 0.0                | 0.0                  | nan                     | nan                 | 0.0                  | nan                  | nan                | nan                   | 0.0                | nan                  | nan                     | 0.0                 | nan                  | 0.0                 | nan                 | nan                     | nan                 | nan                    | nan                    | nan                    | nan                 | nan                | 0.0                   | 0.0                      | nan                             | 0.0                    | nan                 | nan                 | nan                       | 0.0                      | nan                         | 0.0                       | nan                 | nan                   | nan                   | nan                 | nan                       | nan                   | nan                        | 0.0                     | nan                  | nan                   | nan                     | nan                  | nan                         | nan                   | nan                   | 0.0                 | nan                 | nan                  | 0.0                       | 0.0                  | nan                 | nan                           | nan                     | 0.0                         | nan                 | nan                | nan                           | nan                  | nan                | 0.0                  | nan                  | nan                  | nan                  | 0.0                       | 0.0                   | nan                        | nan                  | nan                                | nan                     | nan                       | nan                    | nan                 | nan                 | nan                      | nan                      | nan                    | nan                   | nan                   | nan                 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nan                  | nan                    | nan                           | nan                   | nan                     | nan                  | nan                  | nan                 | 0     |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- TensorFlow 2.15.0
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,374 @@
+{
+  "_name_or_path": "nvidia/mit-b0",
+  "architectures": [
+    "SegformerForSemanticSegmentation"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "classifier_dropout_prob": 0.1,
+  "decoder_hidden_size": 256,
+  "depths": [
+    2,
+    2,
+    2,
+    2
+  ],
+  "downsampling_rates": [
+    1,
+    4,
+    8,
+    16
+  ],
+  "drop_path_rate": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_sizes": [
+    32,
+    64,
+    160,
+    256
+  ],
+  "id2label": {
+    "0": "wall",
+    "1": "building",
+    "2": "sky",
+    "3": "floor",
+    "4": "tree",
+    "5": "ceiling",
+    "6": "road",
+    "7": "bed ",
+    "8": "windowpane",
+    "9": "grass",
+    "10": "cabinet",
+    "11": "sidewalk",
+    "12": "person",
+    "13": "earth",
+    "14": "door",
+    "15": "table",
+    "16": "mountain",
+    "17": "plant",
+    "18": "curtain",
+    "19": "chair",
+    "20": "car",
+    "21": "water",
+    "22": "painting",
+    "23": "sofa",
+    "24": "shelf",
+    "25": "house",
+    "26": "sea",
+    "27": "mirror",
+    "28": "rug",
+    "29": "field",
+    "30": "armchair",
+    "31": "seat",
+    "32": "fence",
+    "33": "desk",
+    "34": "rock",
+    "35": "wardrobe",
+    "36": "lamp",
+    "37": "bathtub",
+    "38": "railing",
+    "39": "cushion",
+    "40": "base",
+    "41": "box",
+    "42": "column",
+    "43": "signboard",
+    "44": "chest of drawers",
+    "45": "counter",
+    "46": "sand",
+    "47": "sink",
+    "48": "skyscraper",
+    "49": "fireplace",
+    "50": "refrigerator",
+    "51": "grandstand",
+    "52": "path",
+    "53": "stairs",
+    "54": "runway",
+    "55": "case",
+    "56": "pool table",
+    "57": "pillow",
+    "58": "screen door",
+    "59": "stairway",
+    "60": "river",
+    "61": "bridge",
+    "62": "bookcase",
+    "63": "blind",
+    "64": "coffee table",
+    "65": "toilet",
+    "66": "flower",
+    "67": "book",
+    "68": "hill",
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+    "70": "countertop",
+    "71": "stove",
+    "72": "palm",
+    "73": "kitchen island",
+    "74": "computer",
+    "75": "swivel chair",
+    "76": "boat",
+    "77": "bar",
+    "78": "arcade machine",
+    "79": "hovel",
+    "80": "bus",
+    "81": "towel",
+    "82": "light",
+    "83": "truck",
+    "84": "tower",
+    "85": "chandelier",
+    "86": "awning",
+    "87": "streetlight",
+    "88": "booth",
+    "89": "television receiver",
+    "90": "airplane",
+    "91": "dirt track",
+    "92": "apparel",
+    "93": "pole",
+    "94": "land",
+    "95": "bannister",
+    "96": "escalator",
+    "97": "ottoman",
+    "98": "bottle",
+    "99": "buffet",
+    "100": "poster",
+    "101": "stage",
+    "102": "van",
+    "103": "ship",
+    "104": "fountain",
+    "105": "conveyer belt",
+    "106": "canopy",
+    "107": "washer",
+    "108": "plaything",
+    "109": "swimming pool",
+    "110": "stool",
+    "111": "barrel",
+    "112": "basket",
+    "113": "waterfall",
+    "114": "tent",
+    "115": "bag",
+    "116": "minibike",
+    "117": "cradle",
+    "118": "oven",
+    "119": "ball",
+    "120": "food",
+    "121": "step",
+    "122": "tank",
+    "123": "trade name",
+    "124": "microwave",
+    "125": "pot",
+    "126": "animal",
+    "127": "bicycle",
+    "128": "lake",
+    "129": "dishwasher",
+    "130": "screen",
+    "131": "blanket",
+    "132": "sculpture",
+    "133": "hood",
+    "134": "sconce",
+    "135": "vase",
+    "136": "traffic light",
+    "137": "tray",
+    "138": "ashcan",
+    "139": "fan",
+    "140": "pier",
+    "141": "crt screen",
+    "142": "plate",
+    "143": "monitor",
+    "144": "bulletin board",
+    "145": "shower",
+    "146": "radiator",
+    "147": "glass",
+    "148": "clock",
+    "149": "flag"
+  },
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+  "initializer_range": 0.02,
+  "label2id": {
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+    "trade name": 123,
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+    "wardrobe": 35,
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+    "water": 21,
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+    "windowpane": 8
+  },
+  "layer_norm_eps": 1e-06,
+  "mlp_ratios": [
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+    4,
+    4,
+    4
+  ],
+  "model_type": "segformer",
+  "num_attention_heads": [
+    1,
+    2,
+    5,
+    8
+  ],
+  "num_channels": 3,
+  "num_encoder_blocks": 4,
+  "patch_sizes": [
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+    3,
+    3,
+    3
+  ],
+  "reshape_last_stage": true,
+  "semantic_loss_ignore_index": 255,
+  "sr_ratios": [
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+    4,
+    2,
+    1
+  ],
+  "strides": [
+    4,
+    2,
+    2,
+    2
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2"
+}

preprocessor_config.json

@@ -0,0 +1,39 @@
+{
+  "_valid_processor_keys": [
+    "images",
+    "segmentation_maps",
+    "do_resize",
+    "size",
+    "resample",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "do_reduce_labels",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "do_normalize": true,
+  "do_reduce_labels": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "SegformerImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 512,
+    "width": 512
+  }
+}

tf_model.h5

@@ -0,0 +1,3 @@
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+oid sha256:58c169df518e8c1687522edc7f9df2dbcb4ef64062a488043ece2fbaaf106fad
+size 15285696