Identification of plants through plant leaves on the basis of their shape, color and texture features using digital image processing techniques

Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine

Pytorch code for multi-Instance multi-label problem

🏞 react-native library to classify images using Vision | 对图像进行分类的 react-native 库

Deep learning model running on ESP32. Custom model used with TensorFlow Lite Micro to classify captured images of flying vehicles.

classification of remote sensing images using Convolutional Neural Networks (CNN)

Recognize traffic sign using Histogram of Oriented Gradients (HOG) and Colorspace based features. Support Vector Machines (SVM) is used for classifying images.

Using Keras and OCR to classify Identity Card, Driving License and Passport

Classifies images using DBN (Deep Belief Network) algorithm implementation from Accord.NET library

A model to classify images from the CIFAR-10 dataset using PyTorch.

Classifies images on fruits using the VGG16 model

Out of ten thousand students in the Facebook PyTorch Scholarship Challenge, as one of the top 300 students from the first phase, PyTorch Scholarship Challenge from Facebook I have earned full scholarships to Udacity’s DLND program.

Very simple python script that classifies images of numbers.

Using Convolutional Neural Networks (CNNs) for binary classification of plant images, especially of the genius Frullania.

Web app for classifying images with given tags.

Tool for classifying files by date.

Simple parametized python script to use a fine trained Inception V3 model to classify images.

In this project i have applied deep learning techniques to train a model to classify images using convolutional neural network algorithm.

Solución de problemas reales- en este clasificando enfermedades cardiovasculares e imágenes- a través de un modelo FEED -FORWARD.

A Python GUI tool to classify galaxies with the help of DS9.

This is a gravity-spy image classifier using TensorFlow

Classificationbox Toolkit - a .Net wrapper for Machine Box's Classificationbox service and a CLI program using it to train a model and sort image folders

Detect and classify tumors from medical images

No description provided.

web app for classify_image.py(tensorflow)

shufflenet implement by mxnet gluon.

Classifier based on fastai

Build a CNN model to classify images of dogs according to their breed.

A simple neural network (built without any deep learning libraries) to classify images of apples and oranges

Cene is an image classification application that aims to classify images of 6 landscapes into corresponding albums. The landscapes this app is capable of classifying are buildings, forests, glaciers, mountains, seas and streets.