restnet50

TruongNV-hut/AIcandy_ResNet50_ImageClassification_ibuyesha

ResNet50 for Image Classification

nguyenquangtung/fashion-recommendation-system

Basic recommendation system with mySQL database and API

nguyenmai333/Cats-Dogs-Classification-Pytorch

cat-dog classifer

prathamk1483/Atreus

Atreus is an advanced bot designed to play the popular game GTA 5 using cutting-edge computer vision and deep learning techniques. By implementing AlexNet, a deep convolutional neural network, Atreus can interpret game visuals and make strategic decisions in real-time.

arya-domain/DL-Algorithm-Fish_classification

A Large-Scale Dataset for Fish Segmentation and Classification Using Deep Learning Algorithms

cezarmendes/RestNet50-FastAPI-Streamlit

Developing a RESTful API using FastAPI to accept an image and return the image type using the ResNet50 (ImageNet) model.

Indrajit-2001/An-analysis-of-Breast-Cancer-Detection-

A breast cancer analysis project using advanced image processing techniques. This research employed CNNs, specifically VGG16, DenseNet121, and ResNet150V2, to analyze histopathological images from the BreakHis dataset on Kaggle, enhancing breast cancer detection and classification.

TanmayWINTR/Image-Caption-Generation-Using-Neural-Networks

Python-based solution for automatic image caption generation using a ResNet-50 CNN and RNN, featuring comprehensive data preprocessing, model training, and evaluation with BLEU score and Cosine Similarity metrics.

vishavsingla/Distracted-driver-detection

This project addresses the danger of distracted driving by developing a system that analyzes in-vehicle camera footage. Deep learning models, including self-trained Convolutional Neural Networks (CNNs) and pre-trained architectures like ResNet-50 and VGG-16, are used to identify drivers who are texting, using phones, reaching for objects or talking

EbubeImoh/contexual-video-analysis-tool

Context Understanding from Videos analyzes video content by extracting frames and audio, then detecting objects, faces, emotions, and actions. It uses Python with OpenCV, MoviePy, and YOLO. Future plans include embedding models for improved context analysis.

meng-ucalgary/enel-645-project

A project on building deep learning classifier to classify playing cards

qazimsajjad/Pytorch-Action-Recognition

Python script leveraging pre-trained ResNet18 for extracting video features from the YouTube Dataset, enabling LSTM-based action recognition models.

SGLKhanhChung/Vehicle-Identify

Vehicle Identify

Thee-Unruly/PET-Classification-with-RESNET50