Dataset Versions

v18

2023-09-13 10:10pm

Generated on Sep 13, 2023

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 88%
1386Images
Valid Set 8%
133Images
Test Set 4%
65Images

Preprocessing

Resize: Fit (reflect edges) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -173° and +173°
Saturation: Between -30% and +30%
Brightness: Between -30% and +30%
Exposure: Between -10% and +10%
Blur: Up to 1px

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