Dataset Versions

v3

2022-02-01 2:45pm

Generated on Feb 1, 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 88%
408Images
Valid Set 8%
39Images
Test Set 4%
19Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 416x416

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -28% and +28%
Blur: Up to 1.25px
Noise: Up to 7% of pixels