Dataset Versions

v4

2023-08-23 11:55am

Generated on Aug 23, 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 92%
7077Images
Valid Set 6%
429Images
Test Set 2%
192Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 5 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Brightness: Between -30% and +30%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 20% size each

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