Dataset Versions

v4

2023-02-10 1:23am

Generated on Feb 10, 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.
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Dataset Split

Train Set 61%
278Images
Valid Set 26%
121Images
Test Set 13%
60Images

Preprocessing

Resize: Stretch to 640x480
Modify Classes: 0 remapped, 5 dropped
Filter Null: Require at least 85% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 25% of images
Exposure: Between -35% and +35%
Blur: Up to 3px
Noise: Up to 15% of pixels
Cutout: 10 boxes with 15% size each
Mosaic: Applied

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