Dataset Versions

v22

2023-10-06 3:28pm

Generated on Oct 6, 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 96%
1596Images
Valid Set 3%
49Images
Test Set 2%
26Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 10% of images
Saturation: Between -54% and +54%
Brightness: Between -27% and +27%
Exposure: Between -11% and +11%
Blur: Up to 0.75px
Noise: Up to 2% of pixels

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