Dataset Versions

v8

2021-10-17 12:02pm

Generated on Oct 17, 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 92%
510Images
Valid Set 5%
28Images
Test Set 3%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x480
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 5
Saturation: Between -34% and +34%
Brightness: Between -23% and +23%
Exposure: Between -31% and +31%
Blur: Up to 3.25px
Noise: Up to 2% of pixels

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