Dataset Versions

v1

2023-10-21 2:22pm

Generated on Oct 21, 2023

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 87%
4890Images
Valid Set 8%
466Images
Test Set 4%
233Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 20% of images
Blur: Up to 2.5px
Noise: Up to 15% of pixels
Cutout: 25 boxes with 5% size each

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