Dataset Versions

v2

2024-11-12 1:46pm

Generated on Nov 12, 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 96%
321Images
Valid Set 4%
12Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 8% of images
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 3.7px
Noise: Up to 0.65% of pixels
Cutout: 18 boxes with 5% size each

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