Great video and good explaination, just a question , let's say if we have images with defect_name labels of around 10 (multi class classification) of each image with a label, does the above algorithm work ??pls let me know on this
Hi, excellent video! Can we use Dino Embeddings and PatchCore together? If so, can you make a video explaining Dino Embeddings? (If possible 😁). Anyways thx, great video
i tried the code and it is just giving the anamoly score but ideally if the image is given to predict the better output if the image label is cut, scratch or good...etc, let me know your feedback on this
Great video and good explaination, just a question , let's say if we have images with defect_name labels of around 10 (multi class classification) of each image with a label, does the above algorithm work ??pls let me know on this
Hi, excellent video!
Can we use Dino Embeddings and PatchCore together? If so, can you make a video explaining Dino Embeddings? (If possible 😁). Anyways thx, great video
i tried the code and it is just giving the anamoly score but ideally if the image is given to predict the better output if the image label is cut, scratch or good...etc, let me know your feedback on this