Dataset Versions

v15

2023-05-14 7:42pm

Generated on May 15, 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.
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Dataset Split

Train Set 94%
11425Images
Valid Set 5%
571Images
Test Set 1%
159Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 20 remapped, 2 dropped

Augmentations

Outputs per training example: 5
Grayscale: Apply to 3% of images
Saturation: Between -5% and +5%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 1% of pixels
Mosaic: Applied

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