Dataset Versions

v3

AddTestImg

Generated on Apr 7, 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.
Other Formats
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Dataset Split

Train Set 94%
5084Images
Valid Set 4%
242Images
Test Set 2%
89Images

Preprocessing

Resize: Fit (reflect edges) in 640x640
Filter Null: Require at least 95% of images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -10% and +10%
Brightness: Between -25% and +25%
Exposure: Between -5% and +5%
Blur: Up to 1.5px
Noise: Up to 2% of pixels
Mosaic: Applied