ml

A problem with the user input during the random forest classifier demonstration

A problem with the user input during the random forest classifier demonstration Question: I got over 90% accuracy with the Random Forest classifier, but I worry the rest of the algorithms give much lower results: A table with the results But this is not the main concern. The problem is that when I used user …

Total answers: 1

YOLOv5: does best.pt control for overfitting?

YOLOv5: does best.pt control for overfitting? Question: After each YOLOv5 training, two model files are saved: last.pt and best.pt. I’m aware that: last.pt is the latest saved checkpoint of the model. This will be updated after each epoch. best.pt is the checkpoint that has the best validation loss so far. It is updated whenever the …

Total answers: 1

Best practice of loading a huge image dataset for ML

Best practice of loading a huge image dataset for ML Question: I’m playing around with a image dataset in kanggle (https://www.kaggle.com/competitions/paddy-disease-classification/data). In this dataset, there are about 10000 images with 480*640 resolution. When I try to load this dataset by following code, for (label, file) in dataset_file_img(dataset_path) image = load_img_into_tensor(file) data.append(image/255) data_label.append(label) it consume about …

Total answers: 2