Dataset Versions

v1

2021-04-04 1:23am

Generated on Apr 4, 2021

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 99%
5847Images
Valid Set 1%
34Images
Test Set 0%
16Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Saturation: Between -39% and +39%
Brightness: Between 0% and +47%
Exposure: Between -21% and +21%
Blur: Up to 6px
Noise: Up to 2% of pixels

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