Dataset Versions

v1

2023-08-03 11:55pm

Generated on Aug 4, 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 87%
4212Images
Valid Set 13%
610Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 2 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 10% of images
Hue: Between -39° and +39°
Saturation: Between -50% and +50%
Brightness: Between -30% and +30%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 7% of pixels
Mosaic: Applied

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