Team,
I am looking for a model that can identify different types of defects such as dents, damages, color damage on an assembled part to provide the inspection details to the quality team automated. I didn't see such a model in automated tool that has the capability. Can someone please guide me on that?
Thank you
Manohar
Solved! Go to Solution.
There is a car damage dataset available on Kaggle. I was able to download it and then I zipped the training folder into one file. I was able to upload that file and build image classification models on the car damage dataset. https://www.kaggle.com/anujms/car-damage-detection
The image classification capabilities in DataRobot can be used to perform that type of analysis. However, the starting point is having a dataset for training the model. I have found it difficult to find publicly available datasets that show car damage.
One of my collegues may have such a dataset that shows no damage, minor damage, and major damage. I am looking for it now and will update this post with that info. Once you have the dataset, then you can use DataRobot to train a model to recognize the severity of damage. The image classification in DataRobot easily handles a 100 categories. If you have a labeled dataset, you can then test out the performance.
How does that sound?