Dataset Versions

v2

2023-06-01 3:04pm

Generated on Jun 1, 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 99%
156Images
Valid Set 1%
2Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Shear: ±8° Horizontal, ±13° Vertical
Grayscale: Apply to 46% of images
Blur: Up to 2px
Noise: Up to 5% of pixels
Cutout: 19 boxes with 5% size each
Bounding Box: Crop: 0% Minimum Zoom, 13% Maximum Zoom
Bounding Box: Brightness: Between -26% and +26%

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