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shubh303/dense_object_detection_FiftyOne

Dense Object Detection Dataset (FiftyOne Format) Dense Object Detection Dataset for open-world/open-vocabulary object detection models like Grounding DINO, OWL-ViT, and GLIP. Statistics Images: 8,001 Annotations: 344,079 Categories: 1,038 Loading with FiftyOne import fiftyone as fo import fiftyone.utils.huggingface as fouh dataset = fouh.load_from_hub("shubh303/dense_object_detection_voxel51") # Launch the app session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/shubh303/dense_object_detection_FiftyOne.

sourceHugging Facemitupdated 9mo agoView on Hugging Face
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Dense Object Detection Dataset (FiftyOne Format)

Dense Object Detection Dataset for open-world/open-vocabulary object detection models like Grounding DINO, OWL-ViT, and GLIP.

Statistics

  • —Images: 8,001
  • —Annotations: 344,079
  • —Categories: 1,038

Loading with FiftyOne

python
import fiftyone as fo
import fiftyone.utils.huggingface as fouh

dataset = fouh.load_from_hub("shubh303/dense_object_detection_voxel51")

# Launch the app
session = fo.launch_app(dataset)

Important

This dataset is for open-world detection models only. Not suitable for closed-set detectors (YOLO, DETR, etc.).

License

MIT

shubh303/dense_object_detection_FiftyOne · CoolFace