Dataset Versions

v2

2024-08-08 11:20pm

Generated on Aug 8, 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 97%
805Images
Valid Set 2%
15Images
Test Set 1%
8Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Grayscale: Applied

Augmentations

Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 4% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Exposure: Between -15% and +15%
Blur: Up to 1.6px
Noise: Up to 1.72% of pixels