Dataset Versions

v1

2023-04-08 11:03pm

Generated on Apr 8, 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 92%
480Images
Valid Set 5%
25Images
Test Set 3%
17Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 32% Maximum Zoom
Grayscale: Apply to 84% of images
Hue: Between -147° and +147°
Saturation: Between -73% and +73%
Brightness: Between -54% and +54%
Exposure: Between -25% and +25%
Blur: Up to 2.75px
Noise: Up to 12% of pixels

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