Dataset Versions

v1

2024-08-14 12:51am

Generated on Aug 14, 2024

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 88%
21Images
Valid Set 8%
2Images
Test Set 4%
1Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 28% Maximum Zoom
Grayscale: Apply to 28% of images
Hue: Between -18° and +18°
Brightness: Between -50% and +50%
Blur: Up to 2.2px
Noise: Up to 2.36% of pixels
Cutout: 11 boxes with 16% size each

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