Dataset Versions

v9

2023-06-04 10:15am

Generated on Jun 4, 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 90%
8598Images
Valid Set 5%
500Images
Test Set 5%
500Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -45% and +45%
Brightness: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 5% of pixels
Bounding Box: Exposure: Between -20% and +20%

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