Dataset Versions

v3

2023-10-15 5:49pm

Generated on Oct 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.
Other Formats
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Dataset Split

Train Set 91%
5025Images
Valid Set 6%
303Images
Test Set 3%
168Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 300x300

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -7° and +7°
Hue: Between -30° and +30°
Saturation: Between -12% and +12%
Brightness: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 3% of pixels

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