Dataset Versions

v1

2022-05-28 1:01pm

Generated on May 28, 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.
Other Formats
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Dataset Split

Train Set 82%
39392Images
Valid Set 12%
5628Images
Test Set 6%
2816Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 416x416
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 2
Shear: ±15° Horizontal, ±18° Vertical
Blur: Up to 10px
Noise: Up to 5% of pixels
Mosaic: Applied