Dataset Versions

v17

2022-07-22 1:51pm

Generated on Jul 22, 2022

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 67%
6000Images
Valid Set 18%
1592Images
Test Set 15%
1368Images

Preprocessing

Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 5 dropped

Augmentations

Outputs per training example: 1
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels

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