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README.md

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+---
+license: mit
+task_categories:
+  - object-detection
+  - zero-shot-object-detection
+language:
+  - en
+tags:
+  - object-detection
+  - open-world-detection
+  - grounding-dino
+  - dense-object-detection
+  - coco
+  - fiftyone
+  - voxel51
+size_categories:
+  - 1K<n<10K
+pretty_name: Dense Object Detection Dataset (FiftyOne Format)
+---
+
+# 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