Dataset Versions

v10

2023-12-14 10:48am

Generated on Dec 14, 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 88%
954Images
Valid Set 8%
90Images
Test Set 4%
46Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -30° and +30°
Grayscale: Apply to 50% of images
Saturation: Between -25% and +25%
Brightness: Between -50% and +50%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Bounding Box: Rotation: Between -15° and +15°

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