Dataset Versions

v5

2022-11-01 10:08pm

Generated on Nov 1, 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 86%
483Images
Valid Set 9%
48Images
Test Set 5%
28Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Shear: ±45° Horizontal, ±45° Vertical
Blur: Up to 4.5px
Noise: Up to 24% of pixels
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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