Dataset Versions

v7

v7

Generated on Mar 17, 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 90%
2385Images
Valid Set 6%
165Images
Test Set 4%
104Images

Preprocessing

Resize: Stretch to 640x640
Modify Classes: 2 remapped, 0 dropped
Filter Null: Require at least 17% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -16° and +16°
Grayscale: Apply to 27% of images
Blur: Up to 1.25px
Noise: Up to 5% of pixels
Cutout: 5 boxes with 20% size each

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