I will perform professional data annotation, labeling, roboflow, cvat

I offer a comprehensive image classification service. The process begins with the annotation and classification of your images. This involves labeling the images according to their respective classes, which is a crucial step for training the model.

Next, I perform a train-test split. This step divides your dataset into a training set and a test set. The training set is used to train the model, while the test set is used to evaluate the models performance.

The preprocessing phase comes next. This involves transforming the images to make them suitable for the model. This could include resizing the images, normalizing the pixel values, etc.

Finally, I apply augmentation techniques to increase the size of your dataset and improve the models ability to generalize. This could involve flipping, rotating, or cropping the images. Looking forward to working with you!

Please note: The exact steps may vary depending on the specific requirements of your project. Feel free to contact me