Dataset Versions

v7

Augmented 3X V.2

Generated on Feb 21, 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.
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Dataset Split

Train Set 92%
6213Images
Valid Set 4%
260Images
Test Set 4%
262Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise
Hue: Between -50° and +50°
Saturation: Between -50% and +50%
Brightness: Between -25% and +25%
Exposure: Between -30% and +30%
Noise: Up to 5% of pixels