Dataset Versions

v3

20.5.22 dataset

Generated on May 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 92%
1599Images
Valid Set 8%
143Images
Test Set 0%
1Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -16° and +16°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 10% of images
Blur: Up to 10px
Cutout: 11 boxes with 9% size each

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