Dataset Versions

v2

2022-04-02 10:37pm

Generated on Apr 2, 2022

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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 80%
1050Images
Valid Set 14%
184Images
Test Set 6%
82Images

Preprocessing

Resize: Fill (with center crop) in 800x800

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 40% Maximum Zoom
Saturation: Between -15% and +15%
Brightness: Between -20% and +20%

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