Dataset Versions

v11

2024-11-04 2:52am

Generated on Nov 4, 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.
Other Formats
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Dataset Split

Train Set 89%
540Images
Valid Set 7%
45Images
Test Set 4%
24Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Filter by Tag: 0 required, 2 dropped

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 24% of images
Hue: Between -24° and +24°
Saturation: Between -34% and +34%
Noise: Up to 1.01% of pixels

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