Dataset Versions

v1

2022-07-21 10:33am

Generated on Jul 21, 2022

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 100%
1821Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±20° Horizontal, ±20° Vertical
Grayscale: Apply to 25% of images
Hue: Between -50° and +50°
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Blur: Up to 2.25px
Noise: Up to 7% of pixels
Cutout: 3 boxes with 10% size each

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