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Datasets:
qihang3426
/
ecosort-dataset

Tasks:
Object Detection
License:
Dataset card Files
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Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 80, in _split_generators
                  raise ValueError(
                  ...<2 lines>...
                  )
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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EcoSort processed dataset

The data behind EcoSort's on-device waste detector, already merged, deduplicated, reviewed and split. It is published by ai/scripts/hub.py push in the EcoSort repository, and make data there downloads the revision that ai/configs/hub.yaml pins. Do not edit these files by hand: a pull checks every byte against that pin and refuses anything else.

file contents images
dataset.tar images/ and labels/, one subdirectory per split 6,310 train + 733 val
test.tar the held-out set, never trained on 839

Labels are YOLO text files, one box per line: class x_center y_center width height, all normalised to the image size. Classes, from classes.yaml 0.9.0:

  • 0 plastic_bottle
  • 1 plastic_bag
  • 2 plastic_food_container
  • 3 snack_bag
  • 4 aluminum_can
  • 5 food_can
  • 6 glass_bottle
  • 7 cardboard_box
  • 8 paper_sheet
  • 9 battery

Sources and licences

Assembled from public datasets, each remapped to the classes above:

  • Open Images V7 (Google): annotations CC BY 4.0, images listed as CC BY 2.0
  • TACO (Proenca and Simoes): annotations MIT; the images keep their own licences, and 715 of TACO's 1,500 images record none
  • dmedhi/garbage-image-classification-detection on the Hub: CC BY 4.0
  • Drinking Waste Classification (Arkadiy Serezhkin, Kaggle): CC0
  • Roboflow Universe, goeys-workspace/ai-smart-recycling-assitant, plastic-jsgxs-b58ov and battery-kxr6t-fbbnr: CC BY 4.0

Check the TACO images' licences before redistributing any of this.
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