Dataset Versions

v2

Main Dataset - 2023-04-23 12-25am

Generated on Apr 23, 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 87%
46200Images
Valid Set 8%
4443Images
Test Set 4%
2180Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 0.5px
Noise: Up to 5% of pixels
Cutout: 6 boxes with 3% size each
Bounding Box: Blur: Up to 0.5px

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