Dataset Versions

v15

For Conference Small

Generated on Jul 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 76%
10394Images
Valid Set 12%
1651Images
Test Set 11%
1553Images

Preprocessing

Resize: Stretch to 320x320
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Modify Classes: 3 remapped, 2 dropped
Filter Null: Require at least 15% of images to contain annotations.

Augmentations

Outputs per training example: 2
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Bounding Box: Exposure: Between -25% and +25%

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