Dataset Versions

v7

2022-05-16 1:06pm

Generated on May 16, 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
Choose another format.

Dataset Split

Train Set 89%
1602Images
Valid Set 7%
121Images
Test Set 4%
78Images

Preprocessing

Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -47% and +47%
Brightness: Between -42% and +42%
Blur: Up to 10.75px
Noise: Up to 10% of pixels