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UAV Instance Segmentation Dataset
This dataset contains UAV (Unmanned Aerial Vehicle) imagery with instance segmentation annotations in COCO format.
Dataset Statistics
- Total Images: 29,888 tiles
- Training Images: 26,927
- Validation Images: 2,961
- Total Annotations: 114,876 (103,493 train + 11,383 val)
- Categories: 3
- Original Source Images: 3,802
Dataset Structure
EVD4UAV_Final_COCO/
├── annotations/
│ ├── instances_train.json
│ └── instances_val.json
└── images/
├── train/
└── val/
Categories
The dataset includes 3 object categories for UAV instance segmentation.
Usage
This dataset is in COCO format and can be used with popular computer vision libraries like:
- PyTorch/torchvision
- Detectron2
- MMDetection
- YOLO
Citation
If you use this dataset, please cite the original EVD4UAV dataset and this processed version.
License
Please refer to the original EVD4UAV dataset license terms.
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