Dataset Versions

v10

2023-10-09 1:05pm

Generated on Oct 9, 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.
Other Formats
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Dataset Split

Train Set 97%
3876Images
Valid Set 2%
76Images
Test Set 2%
62Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 38
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 30% of images
Hue: Between -33° and +33°
Saturation: Between -25% and +25%
Cutout: 12 boxes with 4% size each
Bounding Box: Noise: Up to 12% of pixels

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