Dataset Versions

v3

2 Classes- Tons of Augmentation

Generated on Jun 10, 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 96%
23760Images
Valid Set %
0Images
Test Set 4%
882Images

Preprocessing

Grayscale: Applied
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Mosaic: Applied
Bounding Box: Flip: Horizontal
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%