Dataset Versions

v4

2023-02-09 1:13am

Generated on Feb 8, 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 87%
16341Images
Valid Set 8%
1556Images
Test Set 4%
782Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 31 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 10px
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

Similar Projects

See More
7.7k images 1 model
7.7k images 1 model