Dataset Versions

v3

2024-01-22 4:49pm

Generated on Jan 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.
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Dataset Split

Train Set 91%
15444Images
Valid Set 5%
783Images
Test Set 4%
724Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -13° and +13°
Saturation: Between -33% and +33%
Brightness: Between -16% and +16%
Exposure: Between -7% and +7%
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -13° and +13°

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