Dataset Versions

v6

2023-09-15 9:35am

Generated on Sep 15, 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%
276Images
Valid Set 6%
18Images
Test Set 4%
12Images

Preprocessing

Auto-Orient: Applied
Static Crop: 17-87% Horizontal Region, 10-95% Vertical Region
Resize: Stretch to 640x640
Filter by Tag: 2 required, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 18% Maximum Zoom
Rotation: Between -24° and +24°
Noise: Up to 1% of pixels

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