Task in jupyter notebook
Budget: $10 – $30 USD
Task details in jupyter notebook
Image preprocessing.
Obtaining the classified.
Evaluation of the classifier (confusion matrices).
1. Obtain an image classifier in such a way that, given a new image, the corresponding class can be obtained.
2. It is requested to obtain the confusion matrices of the model, the confusion matrix of the error in the training and the test one.
The justification of the image processing techniques used (color changes, color reduction, contrast increase, edge detection, use of convolutions) will be assessed, as well as the use of classifiers that others are not using, so that in the debate you can share the results that were obtained with other types of models (by models we mean: Linear models, SVM, KNN, CNN).
Image preprocessing.
Obtaining the classified.
Evaluation of the classifier (confusion matrices).
1. Obtain an image classifier in such a way that, given a new image, the corresponding class can be obtained.
2. It is requested to obtain the confusion matrices of the model, the confusion matrix of the error in the training and the test one.
The justification of the image processing techniques used (color changes, color reduction, contrast increase, edge detection, use of convolutions) will be assessed, as well as the use of classifiers that others are not using, so that in the debate you can share the results that were obtained with other types of models (by models we mean: Linear models, SVM, KNN, CNN).