Dataset Versions

v11

2023-04-17 8:06pm

Generated on Apr 17, 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 84%
1602Images
Valid Set 11%
203Images
Test Set 5%
101Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region

Augmentations

Outputs per training example: 3
Hue: Between -43° and +43°
Saturation: Between -48% and +48%
Brightness: Between -25% and +25%
Exposure: Between -12% and +12%

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