Dataset Versions

v2

2024-12-01 9:46am

Generated on Dec 1, 2024

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 94%
14385Images
Valid Set 4%
587Images
Test Set 2%
294Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 7
Flip: Horizontal
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 4.8px
Noise: Up to 1.96% of pixels

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