Dataset Versions

v2

2023-03-26 11:05pm

Generated on Mar 26, 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
Choose another format.

Dataset Split

Train Set 95%
25851Images
Valid Set 3%
871Images
Test Set 2%
412Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Rotation: Between -29° and +29°
Shear: ±23° Horizontal, ±23° Vertical
Hue: Between -133° and +133°
Brightness: Between -38% and +38%
Exposure: Between -15% and +15%
Blur: Up to 2.75px

Similar Projects

See More