Dataset Versions

v6

07_05_first35_added

Generated on Jul 30, 2023

Popular Download Formats

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
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 88%
2400Images
Valid Set 8%
228Images
Test Set 4%
112Images

Preprocessing

Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Brightness: Between -30% and +30%
Noise: Up to 10% of pixels
Cutout: 22 boxes with 2% size each

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637 images