Dataset Versions

v7

2024-10-07 4:15am

Generated on Oct 7, 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.
Other Formats
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Dataset Split

Train Set 90%
6849Images
Valid Set 7%
536Images
Test Set 3%
267Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 256x256
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Blur: Up to 2.5px
Cutout: 3 boxes with 10% size each
Bounding Box: Noise: Up to 3% of pixels

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