Dataset Versions

v23

2023-03-10 8:25pm

Generated on Mar 10, 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 91%
2424Images
Valid Set 7%
183Images
Test Set 2%
65Images

Preprocessing

Resize: Stretch to 640x640
Tile: 2 rows x 2 columns
Modify Classes: 5 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 10% of images
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%

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