Identification of plants through plant leaves on the basis of their shape, color and texture features using digital image processing techniques
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Updated
Aug 3, 2020 - Jupyter Notebook
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
classification of remote sensing images using Convolutional Neural Networks (CNN)
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.
Classifies images on fruits using the VGG16 model
Classifies images using DBN (Deep Belief Network) algorithm implementation from Accord.NET library
Detect and classify tumors from medical images
Very simple python script that classifies images of numbers.
Using Keras and OCR to classify Identity Card, Driving License and Passport
Deep learning model running on ESP32. Custom model used with TensorFlow Lite Micro to classify captured images of flying vehicles.
🏞 react-native library to classify images using Vision | 对图像进行分类的 react-native 库
Build a CNN model to classify images of dogs according to their breed.
This is a gravity-spy image classifier using TensorFlow
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Simple parametized python script to use a fine trained Inception V3 model to classify images.
Using Convolutional Neural Networks (CNNs) for binary classification of plant images, especially of the genius Frullania.
A model to classify images from the CIFAR-10 dataset using PyTorch.
web app for classify_image.py(tensorflow)
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