Dataset Versions

v3

2023-05-12 3:41pm

Generated on May 12, 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.
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Dataset Split

Train Set 74%
105Images
Valid Set 15%
21Images
Test Set 11%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 2% Minimum Zoom, 18% Maximum Zoom
Rotation: Between -8° and +8°
Shear: ±9° Horizontal, ±9° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -21% and +21%
Brightness: Between -19% and +19%
Exposure: Between -18% and +18%
Blur: Up to 1.25px
Noise: Up to 4% of pixels

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