Dataset Versions

v2

2024-08-30 12:46pm

Generated on Aug 30, 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 87%
129Images
Valid Set 9%
13Images
Test Set 4%
6Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±11° Horizontal, ±9° Vertical
Saturation: Between -33% and +33%
Brightness: Between -24% and +24%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.21% of pixels

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