Dataset Versions

v5

2024-04-24 12:43pm

Generated on Apr 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 92%
28706Images
Valid Set 4%
1123Images
Test Set 4%
1221Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 160x160

Augmentations

Outputs per training example: 6
Flip: Horizontal
Brightness: Between -13% and +13%
Exposure: Between -12% and +12%
Bounding Box: Shear: ±5° Horizontal, ±0° Vertical

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