Dataset Versions

v6

2024-03-31 9:55pm

Generated on Mar 31, 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%
81Images
Valid Set 8%
7Images
Test Set 4%
4Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Shear: ±8° Horizontal, ±8° Vertical
Hue: Between -5° and +5°
Brightness: Between -15% and +15%
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise