Dataset Versions

v2

2023-04-27 10:29am

Generated on Apr 27, 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 78%
855Images
Valid Set 4%
44Images
Test Set 18%
191Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Shear: ±9° Horizontal, ±36° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels

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