Dataset Versions

v11

370-370AugImageLvlOnlyNoShapeChange

Generated on Dec 13, 2023

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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 83%
524Images
Valid Set 11%
72Images
Test Set 6%
36Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 2
Grayscale: Apply to 20% of images
Hue: Between -10° and +10°
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 5% of pixels