Dataset Versions

v8

2024-06-30 1:22pm

Generated on Jun 30, 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%
1161Images
Valid Set 8%
108Images
Test Set 4%
54Images

Preprocessing

Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -12° and +12°
Grayscale: Apply to 2% of images
Hue: Between -4° and +4°
Brightness: Between -50% and +50%
Exposure: Between -18% and +18%

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