Dataset Versions

v6

2023-10-16 4:57pm

Generated on Oct 16, 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.
Other Formats
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Dataset Split

Train Set 87%
2568Images
Valid Set 4%
116Images
Test Set 9%
268Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -18° and +18°
Saturation: Between -48% and +48%
Brightness: Between -33% and +33%
Noise: Up to 8% of pixels
Mosaic: Applied