Dataset Versions

v6

2023-08-02 5:27pm

Generated on Aug 2, 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 85%
552Images
Valid Set 11%
70Images
Test Set 4%
25Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 2 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 40% Maximum Zoom
Rotation: Between -31° and +31°
Grayscale: Apply to 70% of images
Exposure: Between -59% and +59%
Blur: Up to 2.5px
Noise: Up to 10% of pixels

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