Dataset Versions

v1

2024-02-16 6:18pm

Generated on Feb 16, 2024

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.
Other Formats
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Dataset Split

Train Set 87%
1668Images
Valid Set 9%
167Images
Test Set 4%
77Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640

Augmentations

Outputs per training example: 3
Hue: Between -11° and +11°
Saturation: Between -16% and +16%
Blur: Up to 1.6px
Noise: Up to 0.46% of pixels