Dataset Versions

v1

2023-10-23 1:22am

Generated on Oct 23, 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 94%
1605Images
Valid Set 4%
64Images
Test Set 3%
45Images

Preprocessing

Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -41% and +41%
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise