Dataset Versions

v9

2023-05-13 5:12am

Generated on May 13, 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.
Other Formats
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Dataset Split

Train Set 82%
12158Images
Valid Set 18%
2633Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 15-86% Horizontal Region, 15-83% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Saturation: Between -26% and +26%
Brightness: Between -35% and +35%
Bounding Box: Rotation: Between -1° and +1°
Bounding Box: Brightness: Between -5% and +5%
Bounding Box: Exposure: Between -9% and +9%

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