Let me share a secret about real-world ML: It's always about the data not the model!
And the data is always flawed!
Introducing ObjectLab, a new algorithm that can automatically fix any object detection dataset.
Read more ...π
And the data is always flawed!
Introducing ObjectLab, a new algorithm that can automatically fix any object detection dataset.
Read more ...π
ObjectLab uses a blend of prediction confidence, model accuracy, and error pattern analysis!
It identifies three common error types:
- Overlooked objects
- Badly located boxes
- Swapped class labels
And the code is fully open-source! π
It identifies three common error types:
- Overlooked objects
- Badly located boxes
- Swapped class labels
And the code is fully open-source! π
Learn more about ObjectLab here: cleanlab.ai
A quick-start tutorial to run it on your own data is available in the the open-source library: github.com
A quick-start tutorial to run it on your own data is available in the the open-source library: github.com
github.com/cleanlab/cleanβ¦
GitHub - cleanlab/cleanlab: The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
The standard data-centric AI package for data quality and machine learning with messy, real-world da...
cleanlab.ai/blog/object-deβ¦
Automated Quality Assurance for Object Detection Datasets
Introducing new data quality algorithms to systematically detect errors in object detection datasets...
If you Enjoyed reading this & are interested in
- Python π
- ML/MLOps π
- CV/NLP π£
- LLMs π§
- AI Engineering βοΈ
Find me β @akshay_pachaar βοΈ
Everyday, I share tutorials on the above topics!
Cheers! π₯
- Python π
- ML/MLOps π
- CV/NLP π£
- LLMs π§
- AI Engineering βοΈ
Find me β @akshay_pachaar βοΈ
Everyday, I share tutorials on the above topics!
Cheers! π₯
Loading suggestions...