Dataset Versions

v3

2022-08-11 1:37pm

Generated on Aug 11, 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.
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Dataset Split

Train Set 100%
240Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Static Crop: 20-80% Horizontal Region, 20-80% Vertical Region
Resize: Fit (white edges) in 640x640

Augmentations

Outputs per training example: 3
Saturation: Between -10% and +10%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%

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