Dataset Versions

v2

608

Generated on Aug 24, 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 87%
2099Images
Valid Set 8%
200Images
Test Set 4%
100Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 608x608

Augmentations

Outputs per training example: 3
Grayscale: Apply to 10% of images
Hue: Between -30° and +30°
Saturation: Between -33% and +33%
Brightness: Between -19% and +19%