Dataset Versions

v6

2024-07-17 12:05pm

Generated on Jul 17, 2024

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.
Other Formats
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Dataset Split

Train Set 82%
336Images
Valid Set 12%
48Images
Test Set 6%
24Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 2
Noise: Up to 1.45% of pixels
Cutout: 9 boxes with 11% size each
Bounding Box: Blur: Up to 3.5px
Bounding Box: Noise: Up to 0.1% of pixels

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