Datasets:
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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
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