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.

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

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

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.

Very simple python script that classifies images of numbers.

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

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.

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

Classifies images on fruits using the VGG16 model

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

Web app for classifying images with given tags.

Tool for classifying files by date.

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

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

web app for classify_image.py(tensorflow)