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krishi-bouncer-dataset

Tasks:
Object Detection
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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/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 82, in _split_generators
                  raise ValueError(
              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 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/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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Krishi Vaidya Bouncer Dataset (WebDataset)

Hub-native sharded WebDataset export for large-scale object detection training and streaming.

Format

  • train/train-*.tar and val/val-*.tar store sharded samples for streaming-friendly access.
  • Each sample is written as <sample_id>.jpg plus <sample_id>.json inside the TAR shard.
  • JSON records keep canonical COCO-style bbox annotations in pixel xywh form.
  • The canonical local dataset and derived YOLO export remain the source-of-truth build artifacts in this repo.

Load 

from datasets import load_dataset

ds = load_dataset("webdataset", data_files={"train": "train/*.tar", "val": "val/*.tar"}, split="train")
sample = ds[0]
image = sample["jpg"]
annotation = sample["json"]

Splits

  • Train: 27,454 samples across 3 shards
  • Val: 3,527 samples across 1 shards

Classes

  • 0: rice_leaf
  • 1: rice_panicle
  • 2: rice_grain_cluster
  • 3: maize_leaf
  • 4: maize_ear
  • 5: potato_leaf
  • 6: tomato_leaf
  • 7: tomato_fruit
  • 8: brassica_leaf
  • 9: cauliflower_head
  • 10: cabbage_head

Distribution

  • rice_leaf: 1,657 objects
  • rice_panicle: 115,046 objects
  • rice_grain_cluster: 473 objects
  • maize_leaf: 8,000 objects
  • maize_ear: 106 objects
  • potato_leaf: 1,199 objects
  • tomato_leaf: 8,792 objects
  • tomato_fruit: 6,808 objects
  • brassica_leaf: 3,834 objects
  • cauliflower_head: 525 objects
  • cabbage_head: 1,027 objects

Sources

  • tomato_yolov8_kaggle: kaggle (vasantharank/tomato-leaf-disease-detection-yolov8-dataset)
  • rice_panicle_bangladesh_kaggle: kaggle (rifat963/annotated-rice-panicle-image-from-bangladesh)
  • rice_leaf_kaggle: kaggle (hadiurrahmannabil/rice-leaf-spot-disease-annotated-dataset)
  • rice_panicle_roboflow: roboflow (0o-mv2zu/rice-panicle-dataset-wxdyx/1)
  • rice_grain_roboflow: roboflow (identify-rice-type/rice-grain-detection-dycoc/1)
  • potato_leaf_roboflow: roboflow (potato-leaf-diseases/potato_leaf_disease/1)
  • maize_leaf_roboflow: roboflow (maize-specific/maize-leaf-diseases/1)
  • maize_ear_roboflow: roboflow (research-kesig/corn-ears-detection/1)
  • tomato_fruit_roboflow: roboflow (tomato-disease-detection-fcgsf/tomato-fruit-disease-detection/4)
  • brassica_leaf_cauliflower_roboflow: roboflow (computervisionprojects-apdge/cauli_disease/4)
  • cauliflower_roboflow: roboflow (yolo2-rtr8h/cauliflower-tv0hi/1)
  • cabbage_roboflow: roboflow (yolo-ssbxq/cabbage-gf0rt/1)
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