Python TensorFlow ResNet50 HTTP image classification server

Ant Trophallaxis Detection using ResNet50 with PyTorch Lightning

Photo sharing and photo storage services like to have location data for each photo that is uploaded. With the location data, these services can build advanced features, such as automatic suggestion of relevant tags or automatic photo organization, which help provide a compelling user experience.

A simple classification with using Resnet50 model with TensorFlow backend

Trying to code Resnet50 on pytorch and testing it on CIFAR10 dataset

This MLOps repository contains python modules intended for distributed model training, tuning, and serving using PyTorch and Ray, a distributed computing framework.

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.

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

This repo implements PyramidBox with pytorch

Recognize and categorize trash (Cardboard/Paper/Glass/Plastic/Metal) with Machine Learning (ResNet50)

📀NVIDIA DeepStream integrated GStreamer Plugin. Mask objects with cuda cores on Jetson boards. Fast and smooth since everything is done on NVMM.🏎

Convert images into vectors, which can be used for image search and image similarity comparison

classification of image data with pre-trained model

Coursera AI Capstone Project with Deep Learning

Batik pattern classifier using neural network ResNet50

Generate explanations for the ResNet50 classification using Grad-CAM and LIME (XAI Method)

Project 3: Dog Breed Classification – for Udacity Machine Learning Nanodegree

Image classification is still one of the interesting challenges for many data science practitioners today. In this project, I created several models to classify scene images where the models development are done in 2 ways, building the model from scratch and using pre-trained models. The data obtained from Kaggle, where the data was initially pu…