Dataset Versions

v2

2023-05-03 12:19pm

Generated on May 3, 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.
Other Formats
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Dataset Split

Train Set 87%
16941Images
Valid Set 8%
1612Images
Test Set 4%
809Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 53% Maximum Zoom
Shear: ±14° Horizontal, ±21° Vertical
Grayscale: Apply to 100% of images
Exposure: Between -43% and +43%
Blur: Up to 6.75px
Noise: Up to 13% of pixels

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