Dataset Versions

v6

2024-11-06 5:19am

Generated on Nov 6, 2024

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 83%
150Images
Valid Set 8%
15Images
Test Set 8%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Saturation: Between -30% and +30%
Brightness: Between -17% and +17%
Exposure: Between -13% and +13%

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