Dataset Versions

v2

2024-07-14 7:13pm

Generated on Jul 14, 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 84%
5223Images
Valid Set 10%
611Images
Test Set 6%
350Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±13° Horizontal, ±13° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -33% and +33%
Brightness: Between -22% and +22%
Exposure: Between -14% and +14%

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