Dataset Versions

v2

2023-04-03 6:05pm

Generated on Apr 3, 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 86%
1302Images
Valid Set 8%
128Images
Test Set 5%
76Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 300x300

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 39% Maximum Zoom
Rotation: Between -45° and +45°
Blur: Up to 1px
Mosaic: Applied
Bounding Box: Brightness: Between 0% and +11%
Bounding Box: Noise: Up to 9% of pixels

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