Dataset Versions

v2

2024-11-04 5:25am

Generated on Nov 4, 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%
12498Images
Valid Set 4%
463Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Saturation: Between -20% and +20%
Brightness: Between -18% and +18%
Exposure: Between -7% and +7%
Blur: Up to 2.1px
Noise: Up to 0.26% of pixels

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