Dataset Versions

v9

2022-02-20 9:27am

Generated on Feb 20, 2022

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 95%
3546Images
Valid Set 3%
100Images
Test Set 2%
74Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 512x512

Augmentations

Outputs per training example: 3
Grayscale: Apply to 30% of images
Hue: Between -150° and +150°
Brightness: Between -50% and +50%
Blur: Up to 1.75px
Noise: Up to 5% of pixels

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