Dataset Versions

v3

new_dataset_3

Generated on Dec 29, 2021

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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.
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Dataset Split

Train Set 82%
1857Images
Valid Set 13%
298Images
Test Set 4%
99Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Exposure: Between -18% and +18%
Noise: Up to 5% of pixels
Cutout: 4 boxes with 4% size each

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