Dataset Versions

v10

2023-11-22 4:46pm

Generated on Nov 22, 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 83%
1164Images
Valid Set 9%
128Images
Test Set 8%
112Images

Preprocessing

Resize: Stretch to 640x480
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Upside Down
Rotation: Between -45° and +45°
Brightness: Between -25% and +25%
Blur: Up to 2px

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