Dataset Versions

v9

Augmentation_Other_x3

Generated on Dec 16, 2022

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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
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Dataset Split

Train Set 91%
10455Images
Valid Set 5%
550Images
Test Set 4%
452Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Saturation: Between -50% and +50%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 5px
Noise: Up to 10% of pixels

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