Dataset Versions

v4

2024-02-24 3:49pm

Generated on Feb 24, 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 74%
2571Images
Valid Set 13%
461Images
Test Set 13%
462Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 244x244

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -14° and +14°
Saturation: Between -34% and +34%
Exposure: Between -15% and +15%

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