ML Code Testing for Corrosion Detection
Budget: ₹600 – ₹1,500 INR
I have two machine learning codes aimed at detecting corrosion using yolov8 and yolov11n. Both codes are equipped with weights and a well-annotated dataset. I require assistance in testing both codes on a validation dataset consisting of 200 images of ship corrosion and another 200 images of underwater ship corrosion.
- I have an annotated dataset of these two types stored in Roboflow, from which the validation images can be sourced.
- The validation dataset needs to be created on my Google Drive and shared with me.
- Both codes should be tested on the validation dataset, which covers both underwater and above-water conditions.
I would like a comprehensive performance analysis for each model, including metrics and visualizations. Specifically, I prefer the use of confusion matrices and accuracy graphs for model visualization.
The validation dataset should be stored in a shared folder with edit permissions. Ideal skills for this job include proficiency in machine learning, experience with corrosion detection, and expertise in using yolov8 and yolov11n.
- I have an annotated dataset of these two types stored in Roboflow, from which the validation images can be sourced.
- The validation dataset needs to be created on my Google Drive and shared with me.
- Both codes should be tested on the validation dataset, which covers both underwater and above-water conditions.
I would like a comprehensive performance analysis for each model, including metrics and visualizations. Specifically, I prefer the use of confusion matrices and accuracy graphs for model visualization.
The validation dataset should be stored in a shared folder with edit permissions. Ideal skills for this job include proficiency in machine learning, experience with corrosion detection, and expertise in using yolov8 and yolov11n.