Dataset Versions

v9

2023-12-03 3:04am

Generated on Dec 2, 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.
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Dataset Split

Train Set 88%
11784Images
Valid Set 8%
1125Images
Test Set 4%
555Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 50% of images
Hue: Between -95° and +95°
Noise: Up to 5% of pixels
Mosaic: Applied

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