Dataset Versions

v4

2024-03-13 10:47pm

Generated on Mar 13, 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%
237Images
Valid Set 8%
21Images
Test Set 4%
10Images

Preprocessing

Auto-Orient: Applied
Static Crop: 15-85% Horizontal Region, 15-85% Vertical Region
Resize: Stretch to 2048x2048
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%

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