Dataset Versions

v4

2022-08-27 5:18pm

Generated on Aug 27, 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 79%
96Images
Valid Set 10%
12Images
Test Set 11%
13Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±27° Horizontal, ±35° Vertical
Grayscale: Apply to 50% of images
Blur: Up to 1.5px
Bounding Box: Rotation: Between -40° and +40°

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