Dataset Versions

v57

2024-02-02 8:27am

Generated on Feb 2, 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 92%
31197Images
Valid Set 2%
621Images
Test Set 6%
2025Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Grayscale: Apply to 20% of images
Saturation: Between -16% and +16%
Brightness: Between -23% and +23%
Exposure: Between -13% and +13%
Blur: Up to 4.5px
Noise: Up to 1.96% of pixels

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