Dataset Versions

v1

2024-08-30 6:20am

Generated on Aug 30, 2024

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 88%
1170Images
Valid Set 6%
82Images
Test Set 6%
83Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±11° Horizontal, ±27° Vertical
Grayscale: Apply to 10% of images
Bounding Box: Shear: ±10° Horizontal, ±11° Vertical

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