Dataset Versions

v3

2024-04-16 12:46am

Generated on Apr 15, 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.
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Dataset Split

Train Set 95%
4536Images
Valid Set 3%
144Images
Test Set 2%
72Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Saturation: Between -33% and +33%
Brightness: Between -64% and +64%
Exposure: Between -15% and +15%
Noise: Up to 1.96% of pixels

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