cnn-for-visual-recognition
There are 356 repositories under cnn-for-visual-recognition topic.
tobybreckon/fire-detection-cnn
real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)
fotisk07/Deep-Learning-Coursera
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
acl21/Selfie_Filters_OpenCV
This deep learning application can detect Facial Keypoints (15 unique points). They mark important areas of the face - the eyes, corners of the mouth, the nose, etc.
RazvanDu/DUCK-Net
Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )
Ankit-Kumar-Saini/Coursera_Deep_Learning_Specialization
Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.
sauravraghuvanshi/Udacity-Computer-Vision-Nanodegree-Program
This repositary contain all my exercises and projects of Udacity Computer Vision Nanodegree Program
SakhriHoussem/Image-Classification
Pre-trained VGG-Net Model for image classification using tensorflow
Insiyaa/Music-Genre-Classification
Genre Classification using Convolutional Neural Networks
cloudwiser/ObjectDetectionRPiZero
TensorFlow Lite object detection example for Raspberry Pi Zero
pjbelo/mediapipe-js-demos
Google MediaPipe Javascript Demos (including live demos)
verifid/facereg
Python module for face recognition with OpenCV and Deep Learning.
TatevKaren/convolutional-neural-network-image_recognition_case_study
Computer Vision Case Study in image recognition to classify an image to a binary class, based on Convolutional Neural Networks (CNN), with TensorFlow and Keras in Python, to identify from an image whether it is an image of a dog or cat. (Includes: Data, Case Study Paper, Code)
Architectshwet/Flower-species-Recognition-using-Computer-vision-and-Machine-Learning
Used Convolutional Deep Neural nets to extract features from the image
sacmehta/WSISegmentation
Segmenting WSIs using Deep Convolutional Neural Networks
brazilian-code/Resume_Parsing
Resume Parsing app to extract information using AI
AveyBD/rice-leaf-diseases-detection
For this project, we are going to detect rice leaf disease using CNN and serve the result via messenger chatbot. We will also implement this to an independent Android app.
Goutam1511/Sign-Language-Recognition-using-Scikit-Learn-and-CNN
The project aims at building a machine learning model that will be able to classify the various hand gestures used for fingerspelling in sign language. In this user independent model, classification machine learning algorithms are trained using a set of image data and testing is done. Various machine learning algorithms are applied on the datasets, including Convolutional Neural Network (CNN).
lmbarr/Fast-r-cnn-pedestrian-detection-with-CAFFE-and-GPU-support
C++ and Python implementation of a automatic system for pedestrian detection at night using far infrared visual information based on convolutional neural networks.
NonvolatileMemory/MXNET-SS-CNN
Implement SS-CNN "Dubey et al. Deep Learning the City ECCV16"
faust-prime/X-ray-images-classification-with-Keras-TensorFlow
ConvNet (CNN) implementation to classify x-ray medical images
yafangy/Nanomaterial_DeepLearning
Semantic neural network to realize pixel-wise classification of 2D nano-material using Matlab
bohdansok/Face_Recognition
This is "ready from box" face recognition app, based on Mediapipe, dlib and face_recognition modules.
brlivsky/helmet-detection-yolo
We present the Automatic Helmet Detection System, a CNN model trained on image dataset that can detect motorbikes as well as riders wearing helmets.
KI-labs/BRAN
BRAN (Basic Recognition and Authentication at eNtrance) - A Facial recognition based identification & authentication system mounted at KI labs office entrance in Munich (https://www.ki-labs.com)
raghunanj/ComputerVisionBasics
Some learnings and code for computer vision basics
SpyrosMouselinos/MasterThesis
VHDL implementation of a customizable CNN
kunjan-mhaske/Obstacle-and-Lane-Detection-using-Computer-Vision
Applied YOLO model trained on COCO dataset to detect obstacles and Lane-Net model trained on tusimple.ai dataset for end-to-end lane detection. • Improved usability and response time by 50% using the combination and optimization of legacy codes of algorithms in assisted driving.
pratapdas/autism-dyslexia-detector
Project for detecting Autism and Dyslexia using ML. A POC for the KPMG Ideation Challenge, 2021.
UvinduW/Project-Intelligent-Car
Implementing autonomous capabilities with a convolutional neural network (CNN) and machine vision on a modified RC car, using a Raspberry Pi and an Arduino, written in Python and C, and utilising the TensorFlow and OpenCV libraries
dotslashf/parking-lot-detection
Detecting empty space for parking lot car using cnn model
jjtiger/ASU_Recipe_Recommendation_Bot
A deep learning CNN model with 9 layers used for image classification of food ingredients and recipes. This recipe recommendation bot will recommend recipes based on image or text user input. Deployed in the Telegram app under ASU_Chef_Bot.
USCDataScience/cmu-fg-bg-similarity
CMU Foreground/Background Similarity Server from DARPA MEMEX
amajji/CNN-from-Scratch
Implementation of CNN (Convolutional neural network) from scratch
anishjohnson/Face-Emotion-Recognition
This project is a part of "Deep Learning + ML Engineering” curriculum as capstone projects at Almabetter School.
Rizwan-Majeed/Sentiment-Analysis-from-Images-Using-Deep-Learning
Convolutional Neural Network (CNN) was trained on 48x48 pixel grayscale images to predict 5 different emotions from images. Ten different models with different settings were trained to find the best model and The best model was able to predict 5 emotions from images with 88% training accuracy and 70% testing accuracy.