Dataset Versions

v1

2022-12-23 11:22am

Generated on Dec 23, 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 87%
102Images
Valid Set 8%
9Images
Test Set 5%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Hue: Between -46° and +46°
Brightness: Between -51% and +51%
Blur: Up to 8px
Noise: Up to 10% of pixels
Cutout: 9 boxes with 3% size each
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise

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