Dataset Versions

v4

3T_2T_Trafos Dataset

Generated on Jun 9, 2024

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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 84%
75Images
Valid Set 10%
9Images
Test Set 6%
5Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Blur: Up to 1px
Noise: Up to 0.93% of pixels

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