Dataset Versions

v26

2023-01-10 3:02pm

Generated on Jan 10, 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 88%
14292Images
Valid Set 8%
1327Images
Test Set 4%
662Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Modify Classes: 15 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -3° and +3°
Hue: Between -5° and +5°
Saturation: Between -5% and +5%
Brightness: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 5% of pixels
Cutout: 25 boxes with 3% size each

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