Dataset Versions

v2

2024-04-23 8:43pm

Generated on Apr 23, 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 88%
5340Images
Valid Set 8%
508Images
Test Set 4%
252Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -8° and +8°
Shear: ±16° Horizontal, ±14° Vertical
Brightness: Between -50% and +50%
Exposure: Between -20% and +20%
Blur: Up to 1.7px
Noise: Up to 3.19% of pixels

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