Dataset Versions

v3

2023-08-07 10:08pm

Generated on Aug 7, 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 87%
16275Images
Valid Set 7%
1250Images
Test Set 6%
1175Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 5 rows x 5 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
Brightness: Between -30% and +0%
Noise: Up to 3% of pixels
Cutout: 2 boxes with 11% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -5° and +5°

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