Dataset Versions

v1

2024-01-06 2:19pm

Generated on Jan 6, 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 88%
7032Images
Valid Set 7%
587Images
Test Set 5%
417Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 1.5px
Noise: Up to 1.53% of pixels
Cutout: 3 boxes with 4% size each

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