L-4 | Image Classification Using ResNet-18 and Pytorch

In this tutorial, you will embark on a journey through the world of image classification using the powerful ResNet18 model with PyTorch. We will guide you step-by-step on how to train the model on your dataset, capturing the nuances and features essential for accurate classification. Following training, you'll learn the critical skill of saving your model, enabling you to preserve and utilize your trained model in future tasks. But the learning doesn't stop there! You'll also master the art of loading the model back into your Python environment, a key step for deploying models or continuing training. Finally, you will apply the trained model to new data, testing its ability to classify images accurately. By the end of this tutorial, you'll be well-versed in handling the ResNet18 model for your image classification tasks using PyTorch.
Github: github.com/AarohiSingla/Image...
Dataset: github.com/AarohiSingla/Image...
For queries: You can comment in comment section or you can email me at [e-mail]
#computervision #deeplearning #pytorch #imageclassification #imageclassification

[@ashimasingla103]

Perfect content

[@youtubeaccount8613]

this is so so so helpful! i have been stuck for weeks and this is amazing!

[@CodeWithAarohi]

Glad it helped!

[@pifordtechnologiespvtltd5698]

Nice video

[@user-co6pu8zv3v]

Thank you, Aarohi! :)

[@CodeWithAarohi]

Welcome :)

[@soravsingla8782]

What an amazing video

[@CodeWithAarohi]

Glad it is useful!

[@navidnazem4494]

Shouldn't we redefine FC to 2 classes?

[@rafeeda3580]

Well explained.❤❤❤ Any videos of medical image classification available

[@CodeWithAarohi]

Not yet!

[@bilkisuismail6096]

Thank you ma, but how did you get mean and standard deviation?

[@dobijr7900]

they are gotten from imagenet after working on millions of images

[@therock8815]

plz provided the updated code of vgg-16/ resnet50 or any that resolved the version error thanks

[@Sunil-ez1hx]

Awesome

[@CodeWithAarohi]

Thanks!

[@AlAmin-xy5ff]

Mam make a video on YOLOv8 model customization or change layer

[@CodeWithAarohi]

I will try

[@karthickkuduva9819]

Aashiqui 2 - Aarohi ❌️ Code with Aarohi ❤

[@user-qi4jw1lf9i]

it is giving error I am taking 11 classes for this for emoji prediction

[@user-qi4jw1lf9i]

from PIL import Image from torchvision import transforms # Load and preprocess the unseen image image_path = '/content/test.png' # Replace with the path to your image image = Image.open(image_path) preprocess = transforms.Compose([ transforms.Resize(256), transforms.CenterCrop(224), transforms.ToTensor(), transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) ]) input_tensor = preprocess(image) input_batch = input_tensor.unsqueeze(0) # Add a batch dimension

[@user-qi4jw1lf9i]

RuntimeError: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 0

[@abrarislam6509]

Are you married?

[@CodeWithAarohi]

Yes