imageclassification
There are 2 repositories under imageclassification topic.
ThinamXx / MachineLearning_DeepLearning
I will share about Machine Learning and Deep Learning.
Nicholasli1995 / VisualizingNDF
Official PyTorch implementation of "Visualizing the Decision-making Process in Deep Neural Decision Forest", CVPR 2019 Workshops on Explainable AI
Language:Python 69tanmoyopenroot / cancer_nn
Skin Lesion Analysis Towards Melanoma Detection
Language:Python 35SartajBhuvaji / Brain-Tumor-Classification-Using-Deep-Learning-Algorithms
To Detect and Classify Brain Tumors using CNN and ANN as an asset of Deep Learning and to examine the position of the tumor.
Language:Jupyter Notebook 32francismontalbo / fused-densenet-tiny
A novel approach in training a DenseNet model for diagnosing COVID-19 Chest X-Rays.
Language:Jupyter Notebook 31narenkhatwani / FoodAayush
This repository consists of our Final Year Project. You can find everything starting from our code to all the resources in this repository
Language:Python 23dehaoterryzhang / Image_Classification_App
Build a image classification python web app with Streamlit and PyTorch :cat: :dog:
Language:Python 19farazahmeds / Classification-of-brain-tumor-using-Spatiotemporal-models
Classification of brain tumor in MR images using deep spatiospatial models.
Language:Python 18sharmaroshan / Weed-Detection
This Problem is based on a Image Data set consisting of different types of weeds, to detect them in crops and fields. I have used Deep Learning Model called CNN(Convolutional Neural Networks) with Dropout, Batch Normalization, ReduceLearning rate on plateau, Early stoppig rounds, and Transposd Convolutional Neural Networks.
Language:Jupyter Notebook 17- Language:Python 16
nethra8902 / Badminton-Sport-Analysis-Computer-Vision
The following parameters have been analysed for a short badminton singles match video: 1. Player1 and Player 2 are detected with bounding boxes, 2. Recording and displaying the Start time and end time of the match, 3. Displaying the number of hits made by each player , 4. Displaying the number of out of the boundary hits (AWAYs) made by each player during the course of match, 5. Shuttlecock is detected in every frame of the video with a bounding box.
Language:Jupyter Notebook 16- Language:Dart 16
arnabdeypolimi / Image-classification-PyTorch-MLflow
Image classification using Transfer learning technique. Updated and added mlflow with PyTorch fine-tune tutorial
Language:Jupyter Notebook 12KrishArul26 / Motorbike-Helmet_detection-using-YOLOV3
This project related to road safety. We have to wear a helmet according to road safety rules when riding a motorcycle. Therefore, these rules are monitored by the police. Also, Due to the invention of high-quality cameras and the development of the state of art in AI, the surveillance system willing to use AI system to detect whether passengers are wearing helmets or not. In this category I have built a model, first, it can be able to detect the motorcycle, then it will find out who is riding the bike. Finally, it will determine whether the person is wearing a helmet or not. To that end, I trained the pre-trained model SSD-MobileNet-V1 to detect motorcycles and humans.
Language:Python 12LahiRumesh / simple_cnn
Simple CNN is a library that can be used to train and infer CNN models by use of PyTorch and ONNX.
Language:Python 10- Flutter-Skined
azarafath / Flutter-Skined
Aplikasi deteksi penyakit kulit menggunakan AI. Dibuat untuk menyelesaikan Tugas Akhir AI Mastery Program Orbit Future Academy X SIB Kampus Merdeka 2022.
Language:Dart 9 theunicorndev237 / ml-Image-classification-model
Image Classification Model
Language:Jupyter Notebook 9- Rasoee
arijitgupta42 / Rasoee
PyTorch Global Summer Hackathon 2020 Second Prize Winner in Mobile/Web Application Category
Language:Jupyter Notebook 8 kingardor / Beatbox-Classifier-Mel-Spectogram
Classify Beatbox Genre using Mel Spectograms and Resnet18 Classifier
Language:Jupyter Notebook 7DanielMartensson / jFaces
Use jFaces to predict unknown images by training a set of images
Language:Java 6GECCOProject / GECCO
GECCO is a lightweight image classifier based on single MLP and graph convolutional layers. We find that our model can achieve up to 16x better latency than other state-of-the-art models. The paper for our model can be found at https://arxiv.org/abs/2402.00564
Language:Python 6CPSC 5305 01 22FQ Introduction to Data Science Project
Language:Jupyter Notebook 6codingcafe1 / avengers
Flutter Avenger App - Android & iOS Deep Learning and Machine Learning App - All Marvel Hollywood Avengers Actors & Actresses Recogniser App
Language:Dart 5dsabarinathan / Ultrasound-Image-Classification
Thyroid Nodule image Classification based on Geometric and Morphological Features
Language:MATLAB 5knotgrass / Knowledge-Distillation
Implementation of Distilling the Knowledge in a Neural Network https://arxiv.org/pdf/1503.02531.pdf
Language:Python 5maxmudovmustafa / Face_recognition
For questions please contact: shohruh.maxmudov@mail.ru
Language:Python 5gulabpatel / Computer_Vision
Image Classification, Object Detection, Image Segmentation, Instance Segmentation and Pose Estimation
Language:Jupyter Notebook 4NahidEbrahimian / Cars-Classification-tensorflow
Iranian Cars Classification using Tensorflow - Transfer learning
Language:Jupyter Notebook 4quocthang0507 / ImageClassificationWebAppWithML.NET
Training Image Classification using ML.NET Deep Learning with Oxford flowers dataset
Language:C# 4SchoolofAI-Vancouver / learn_image_classification_2
Vancouver School of AI - Image Classification Series 2
Language:Jupyter Notebook 4wajuqi / Bedfast-Lake-Ice-Mapping
Image classification using satellite imagery.
Language:Python 4abhishek-topwal / Image-Classification-using-CNN-and-Resnet
A classifier is trained to identify land use and land cover in the EuroSAT Dataset. A Convolutional Neural Network (CNN) is implemented and a fine-tune Resnet model is also used for this image classification task.
Language:Jupyter Notebook 3ved-et9 / Data_Science_ML_Internship
Data science Machine Learning 🤖 It is normal repo of my research and work perfomed on data science and machine learning during my internshipGoogle 🔥
Language:Jupyter Notebook 3miaphan902 / Gender-Classification-Application-with-flask
This is all of my study about machine learning
Language:Jupyter Notebook 2NagiPragalathan / animal_prediction
Animal Prediction is a web application developed using Python and Django that allows users to predict the animal species based on uploaded photos. The application utilizes machine learning algorithms to analyze the image data and provide accurate predictions.
Language:HTML 2neerajcodes888 / Cat-Vs-Dog-Image-Classification
Repository for a deep learning model that classifies images as either cats or dogs using deep learning techniques. The model is trained on a diverse dataset and achieves high accuracy in distinguishing between these two popular pet categories. Includes pre-processing scripts, model architecture, and evaluation metrics for seamless implementation
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