Dataset Versions

v4

2024-08-03 12:35am

Generated on Aug 3, 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%
11280Images
Valid Set 8%
1038Images
Test Set 4%
504Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 10% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±12° Vertical
Grayscale: Apply to 11% of images
Saturation: Between -29% and +29%
Brightness: Between -10% and +10%
Blur: Up to 1.9px
Noise: Up to 1.68% of pixels

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