Dataset Versions

v1

First attempt

Generated on Aug 26, 2021

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%
8676Images
Valid Set 8%
826Images
Test Set 4%
412Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 1024x1024

Augmentations

Outputs per training example: 3
Rotation: Between -25° and +25°
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Bounding Box: Noise: Up to 2% of pixels