Dataset Versions

v2

2022-04-14 1:02am

Generated on Apr 13, 2022

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 82%
2732Images
Valid Set 15%
512Images
Test Set 3%
95Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -50% and +50%
Exposure: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 6% of pixels
Mosaic: Applied

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