Dataset Versions

v9

2023-01-27 1:39am

Generated on Jan 26, 2023

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.
Other Formats
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Dataset Split

Train Set 90%
78Images
Valid Set 1%
1Images
Test Set 9%
8Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 256x256
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -25° and +25°
Shear: ±9° Horizontal, ±13° Vertical
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Exposure: Between -12% and +12%
Blur: Up to 3px
Cutout: 4 boxes with 30% size each

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