AnimeVision: An image recognition tool using ResNet50 and Jikan API to identify and fetch details of anime.

🔎 PicTrace is a highly efficient image matching platform that leverages computer vision using OpenCV, deep learning with TensorFlow and the ResNet50 model, asynchronous processing with aiohttp, and the FastAPI web framework for rapid and accurate image search.

Python TensorFlow ResNet50 HTTP image classification server

Machine Learning Lifecycle

Snapfolia is a leaf classifier web application using Resnet50, a deep-learning model.

Official Repository for the paper "Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend".

Uses ResNet50 and OpenCV to analyze a video and detect the object present in it.

Machine learning projects that span different subject areas from SVM to Deep Learning

This repository contains code for comparing and evaluating various CNN classification models on a waste image dataset.

Image Search by Image, Image Search Engine Based on Graph Vector And Vector Database（以图搜图，基于图向量和向量数据库的图片搜索引擎）

6-class image classification using simple CNN, ResNet50, VGG16 and DenseNet121. Dataset contains 2,527 images (glass, paper, cardboard, plastic, metal, trash)

Morse Code Decoder & Detector with Deep Learning

This project utilizes the Hono framework to build a Cloudflare Worker that exposes an API endpoint for image classification. It integrates with Cloudflare AI to run the Microsoft Vision Model ResNet-50 and classify images based on either image URLs or file uploads.

Image captioning model with Resnet50 encoder and LSTM decoder

Image captioning model with Resnet50 encoder and LSTM decoder

Content-Based Image Retrieval (CBIR) using Faiss (Facebook) and many different feature extraction methods ( VGG16, ResNet50, Local Binary Pattern, RGBHistogram)

classification of image data with pre-trained model

a robust method of classification and recognition of coffee leaf diseases using both classical ma learning and deep learning methods, also a custom CNN. These methods were evaluated on the Arabica coffee leaf dataset known as JMuBEN.

Diabetic Foot Ulcer Classification using Deep Learning to classify Diabetic Foot Ulcer images and Healthy Skin images.