Dataset Versions

v9

2022-10-20 12:45pm

Generated on Oct 20, 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 65%
2337Images
Valid Set 30%
1098Images
Test Set 5%
179Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -30° and +30°
Grayscale: Apply to 30% of images
Brightness: Between -53% and +53%
Bounding Box: Shear: ±25° Horizontal, ±25° Vertical

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