Dataset Versions

v1

2023-05-29 5:10am

Generated on May 29, 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 84%
8682Images
Valid Set 11%
1152Images
Test Set 5%
514Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 10 dropped

Augmentations

Outputs per training example: 2
Grayscale: Apply to 4% of images
Hue: Between -33° and +33°
Brightness: Between 0% and +25%
Exposure: Between -25% and +25%
Noise: Up to 2% of pixels

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