Resnet18
R
Resnet18
Developed by glasses
ResNet18 is an image classification model based on deep residual learning, which solves the difficulty of training deep networks through residual connections.
Downloads 15
Release Time : 3/2/2022
Model Overview
ResNet18 is a classic convolutional neural network primarily used for image classification tasks. By introducing residual connections, it allows the network to be deeper and easier to train.
Model Features
Residual Connections
Residual connections solve the difficulty of training deep networks, allowing the network to be deeper and easier to train.
Multiple Variants
Supports multiple variants, such as ResNet18, ResNet50, and variants from the paper 'Bag of Tricks for Image Classification with Convolutional Neural Networks.'
Highly Customizable
The model can be customized by modifying the stem and block structures to meet different requirements.
Model Capabilities
Image Classification
Feature Extraction
Use Cases
Computer Vision
ImageNet Classification
Use ResNet18 to classify images in the ImageNet dataset.
Feature Extraction
Use ResNet18 to extract image features for subsequent tasks such as object detection or image segmentation.
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