Dataset Versions

v1

2024-06-22 8:35am

Generated on Jun 22, 2024

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
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Dataset Split

Train Set 83%
1782Images
Valid Set 12%
265Images
Test Set 5%
104Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 85% of images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -20% and +20%
Noise: Up to 0.97% of pixels
Cutout: 13 boxes with 6% size each

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