Dataset Versions

v4

moderatere

Generated on Mar 10, 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 87%
1959Images
Valid Set 8%
187Images
Test Set 4%
93Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 416x416

Augmentations

Outputs per training example: 3
Rotation: Between -6° and +6°
Shear: ±2° Horizontal, ±2° Vertical
Brightness: Between -1% and +1%
Exposure: Between -3% and +3%
Blur: Up to 0.25px
Noise: Up to 1% of pixels