Dataset Versions

v2

Raw-HiRes-Augmented-RFv2Init -- 20220803

Generated on Aug 3, 2022

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 88%
2001Images
Valid Set 8%
190Images
Test Set 4%
95Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1024x576

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Hue: Between -30° and +30°
Saturation: Between -30% and +30%
Brightness: Between 0% and +30%
Exposure: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 5% of pixels