Dataset Versions

v16

2022-11-02 2:12am

Generated on Nov 2, 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.
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Dataset Split

Train Set 87%
10008Images
Valid Set 8%
955Images
Test Set 4%
479Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 5 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 41% of images
Brightness: Between -44% and +44%
Blur: Up to 5.75px
Noise: Up to 7% of pixels

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