Dataset Versions

v1

2024-05-15 7:42pm

Generated on May 15, 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%
960Images
Valid Set 8%
91Images
Test Set 4%
46Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±13° Horizontal, ±20° Vertical
Grayscale: Apply to 35% of images
Bounding Box: Noise: Up to 0.08% of pixels

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