segmentation

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smerkd commited on 13 days ago

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+{
+  "permissions": {
+    "allow": [
+      "Bash(ls /Users/smerkous/Downloads/dataset-2/images/*.png)",
+      "Bash(ls /Users/smerkous/Downloads/dataset-2/labels/*.txt)",
+      "Bash(python3:*)",
+      "Bash(pip3 install:*)"
+    ]
+  }
+}

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+*.7z filter=lfs diff=lfs merge=lfs -text
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+*.pcm filter=lfs diff=lfs merge=lfs -text
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+---
+license: mit
+---
+# LabOS Segmentation Dataset
+A curated instance segmentation dataset of laboratory equipment that **foundation models (SAM,Gemini,YoloWorld,Grounded) consistently struggle with** and used to cover their gaps — including vortex genies, eppendorf tubes, multi-tube racks, colored caps, and fine-grained sub-parts like rack holes, tube tops, and mixer plates.
+Annotations are provided in both **COCO JSON** and **YOLO polygon** formats.
+---
+## Why This Dataset?
+General-purpose vision models fail on lab equipment for several reasons:
+- **Repetitive, nearly-identical sub-objects** — racks with dozens of uniform holes challenge, most foundation models have failed at, both detection and counting.
+- **Transparent / translucent materials** — eppendorf tubes and caps have subtle visual boundaries.
+- **Fine-grained part segmentation** — distinguishing a vortex genie *top plate* from its body, or an *orange cap top* from its barrel, requires part-level understanding that VLMs lack.
+- **Domain specificity** — lab bench imagery is severely underrepresented in web-scraped pre-training data.
+---
+## Dataset Statistics
+### Split Summary
+| Split      | Images | Annotations |
+|------------|-------:|------------:|
+| Train      |    228 |       2,736 |
+| Validation |     57 |         579 |
+| **Total**  |**285** |   **3,315** |
+Split ratio: ~80 / 20 (train / val).
+### Annotations per Category
+| Category | Train | Val | **Total** |
+|---|---:|---:|---:|
+| 14ml rack hole              | 1,263 |  59 | **1,322** |
+| rack 50ml hole              |   506 | 258 |   **764** |
+| 50ml eppendorf tube         |   182 |  67 |   **249** |
+| 50Ml eppendorf orange cap   |   108 |  34 |   **142** |
+| 14ml round bottom tube top  |   172 |   7 |   **179** |
+| 50Ml eppendorf orange cap top|  91 |  30 |   **121** |
+| 50Ml rack                   |    66 |  31 |    **97** |
+| Vortex Genie 2              |    72 |  21 |    **93** |
+| Vortex Genie Top Plate      |    59 |  14 |    **73** |
+| Vortex Genie Hole           |    54 |  14 |    **68** |
+| 50Ml eppendorf cap          |    47 |   3 |    **50** |
+| 50Ml eppendorf blue cap     |    26 |  22 |    **48** |
+| 50Ml eppendorf cap top      |    40 |   3 |    **43** |
+| 14ml rack                   |    33 |   2 |    **35** |
+| 50Ml eppendorf blue cap top |    17 |  14 |    **31** |
+| **Total**                   | **2,736** | **579** | **3,315** |
+---
+## File Structure
+```
+dataset-2/
+├── images/                    # 285 PNG images (1280×720)
+├── labels/                    # polygon segmentation (.txt, one per image)
+├── annotations.json           # COCO format — all images
+├── annotations_train.json     # COCO format — training split
+├── annotations_val.json       # COCO format — validation split
+├── dataset.yaml               # dataset config
+└── demo_imgs/                 # Annotated visualization examples
+```
+---
+## Annotation Format
+**COCO JSON** — bounding boxes + polygon segmentation masks per instance.
+**YOLO TXT** — one file per image, each line:
+```
+<class_id> x1 y1 x2 y2 ... xN yN
+```
+Coordinates are normalized to `[0, 1]`. Annotations were created and exported from **CVAT**.
+---
+## Example Visualizations
+| Color | Category |
+|---|---|
+| ![#ff4646](https://placehold.co/12x12/ff4646/ff4646) Red | Vortex Genie 2 |
+| ![#ffa000](https://placehold.co/12x12/ffa000/ffa000) Orange | Vortex Genie Hole |
+| ![#d2c300](https://placehold.co/12x12/d2c300/d2c300) Yellow | Vortex Genie Top Plate |
+| ![#32c832](https://placehold.co/12x12/32c832/32c832) Green | 50ml eppendorf tube |
+| ![#3282ff](https://placehold.co/12x12/3282ff/3282ff) Blue | 50Ml eppendorf cap |
+| ![#aa32ff](https://placehold.co/12x12/aa32ff/aa32ff) Purple | 50Ml rack |
+| ![#32dcb4](https://placehold.co/12x12/32dcb4/32dcb4) Teal | rack 50ml hole |
+| ![#ffc864](https://placehold.co/12x12/ffc864/ffc864) Gold | 14ml round bottom tube top |
+| ![#64b4ff](https://placehold.co/12x12/64b4ff/64b4ff) Light blue | 14ml rack hole |
+| ![#c864ff](https://placehold.co/12x12/c864ff/c864ff) Violet | 14ml rack |
+| ![#ff8c1e](https://placehold.co/12x12/ff8c1e/ff8c1e) Dark orange | Orange cap / orange cap top |
+| ![#1e8cff](https://placehold.co/12x12/1e8cff/1e8cff) Dark blue | Blue cap / blue cap top |
+### Small scene — vortex hole present, 7 classes (8 instances)
+![demo 27](demo_imgs/demo_27.png)
+### Full lab scene — vortex genie + 14ml rack + 50ml tubes (113 instances)
+![demo 280](demo_imgs/demo_280.png)
+### Vortex genie + 14ml rack with holes and tube tops (44 instances)
+![demo 274](demo_imgs/demo_274.png)
+### 50ml rack — blue and orange caps, rack holes, no vortex (16 instances)
+![demo 7](demo_imgs/demo_7.png)
+### Vortex top plate + orange caps + rack holes (36 instances)
+![demo 177](demo_imgs/demo_177.png)
+### Dense 50ml rack — blue, orange & generic caps with rack holes (81 instances)
+![demo 29](demo_imgs/demo_29.png)
+### Vortex genie + orange caps, no rack holes (27 instances)
+![demo 234](demo_imgs/demo_234.png)
+### Blue caps focus — rack holes and tube bodies (42 instances)
+![demo 82](demo_imgs/demo_82.png)
+### 14ml rack + vortex genie — large annotation count (130 instances)
+![demo 285](demo_imgs/demo_285.png)
+---
+## Pre-trained Weights
+`segment-yolo-weights.pt` — YOLO segmentation model trained on this dataset. Load with:
+```python
+from ultralytics import YOLO
+model = YOLO("segment-yolo-weights.pt")
+results = model("images/1.png")
+```
+---
+## License
+MIT — see license field above.

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+# YOLO-World Dataset Configuration
+# Auto-generated from COCO annotations
+# Dataset path
+path: /home/aira/Documents/LabOS-Runtime/robot/dataset
+train: images
+val: images
+# Number of classes
+nc: 18
+# Class names
+names:
+  0: Vortex Genie 2
+  1: Vortex Genie Hole
+  2: Vortex Genie Top Plate
+  3: 50ml eppendorf tube
+  4: 50Ml eppendorf cap
+  5: 50Ml 4 way rack
+  6: 4 way rack 50ml hole
+  7: 4 way rack 5ml hole
+  8: rack 50mL hole
+  9: 50mL rack
+  10: 14ml round bottom tube top
+  11: 14ml rack hole
+  12: 14ml rack
+  13: 50Ml eppendorf cap top
+  14: 50Ml eppendorf orange cap top
+  15: 50Ml eppendorf blue cap top
+  16: 50Ml eppendorf orange cap
+  17: 50Ml eppendorf blue cap