Dataset Versions

v7

2023-07-31 6:49pm

Generated on Jul 31, 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 77%
63Images
Valid Set 11%
9Images
Test Set 12%
10Images

Preprocessing

Static Crop: 2-60% Horizontal Region, 12-88% Vertical Region
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -15° and +15°
Brightness: Between -25% and +25%
Exposure: Between -36% and +36%
Blur: Up to 4px
Noise: Up to 8% of pixels
Cutout: 8 boxes with 14% size each

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