Dataset Versions

v3

2023-03-12 2:08am

Generated on Mar 11, 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%
5277Images
Valid Set 4%
220Images
Test Set 4%
219Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 20 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -30° and +30°
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -12% and +12%
Blur: Up to 1.5px

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