Dataset Versions

v21

bright ex cut

Generated on Dec 4, 2022

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.
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Dataset Split

Train Set 87%
2358Images
Valid Set 8%
220Images
Test Set 4%
120Images

Preprocessing

Auto-Orient: Applied
Static Crop: 10-90% Horizontal Region, 10-90% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 10% of images
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Cutout: 25 boxes with 3% size each

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