Dataset Versions

v1

V15

Generated on Jul 13, 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 96%
24075Images
Valid Set 3%
716Images
Test Set 1%
357Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -30° and +30°
Grayscale: Apply to 15% of images
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 1% of pixels
Bounding Box: Blur: Up to 1px
Bounding Box: Noise: Up to 1% of pixels

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