Dataset Versions

v5

2024-09-11 3:03am

Generated on Sep 11, 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%
195Images
Valid Set 8%
18Images
Test Set 4%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 224x224
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 27% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -17% and +17%
Blur: Up to 1.1px

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