Dataset Versions

v10

2023-11-24 2:47pm

Generated on Nov 24, 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 88%
609Images
Valid Set 8%
57Images
Test Set 4%
29Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Vertical
Rotation: Between -15° and +15°
Brightness: Between -26% and +26%
Exposure: Between -8% and +8%
Blur: Up to 4.75px
Noise: Up to 1% of pixels
Cutout: 2 boxes with 22% size each

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