Dataset Versions

v1

2023-09-22 1:58pm

Generated on Sep 22, 2023

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 87%
234Images
Valid Set 9%
23Images
Test Set 4%
11Images

Preprocessing

Auto-Orient: Applied
Static Crop: 15-60% Horizontal Region, 12-68% Vertical Region

Augmentations

Outputs per training example: 3
Hue: Between -80° and +80°
Saturation: Between -25% and +25%
Brightness: Between -35% and +35%
Exposure: Between -30% and +30%

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