Dataset Versions

v4

2022-07-05 11:58am

Generated on Jul 5, 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 91%
642Images
Valid Set 4%
26Images
Test Set 5%
34Images

Preprocessing

Resize: Stretch to 416x416
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Grayscale: Apply to 100% of images
Brightness: Between -5% and +5%
Blur: Up to 1px
Noise: Up to 5% of pixels

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