Dataset Versions

v4

2023-11-09 4:42pm

Generated on Nov 9, 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 92%
12561Images
Valid Set 4%
572Images
Test Set 4%
552Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -24° and +24°
Shear: ±24° Horizontal, ±29° Vertical
Grayscale: Apply to 50% of images
Saturation: Between -37% and +37%
Blur: Up to 4.75px
Noise: Up to 12% of pixels

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