Dataset Versions

v15

2023-04-18 8:27pm

Generated on Apr 18, 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 76%
1281Images
Valid Set 18%
310Images
Test Set 6%
101Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 1080x1080

Augmentations

Outputs per training example: 3
Hue: Between -43° and +43°
Saturation: Between -48% and +48%

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