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)
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Updated
Jul 22, 2021 - Python
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)
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.
Pre-trained VGG-Net Model for image classification using tensorflow
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)
Repositório do projeto apresentado no vídeo "Reconhecendo sinais de LIBRAS com Deep Learning - Como fazer?" do canal Universo Discreto
This is "ready from box" face recognition app, based on Mediapipe, dlib and face_recognition modules.
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 datase…
Creating Snap Chat filters by using machine learning and CNNs to pinpoint 15 key facial features
Implement SS-CNN "Dubey et al. Deep Learning the City ECCV16"
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)
Detecting empty space for parking lot car using cnn model
Attendance Management with Signature Recognition
Image Captioning with pretrained last layer of DCNN and RNN
Project for detecting Autism and Dyslexia using ML. A POC for the KPMG Ideation Challenge, 2021.
Python module for face recognition with OpenCV and Deep Learning.
An innovative multi-task neural architecture suitable for face analysis and the consequent identification of gender, age, ethnicity and emotion. A network capable of the performance of the state of the art of single-task networks by sharing the feature extraction part. It may be suitable for robotic applications: it requires time and memory in t…
YOLO (You Only Look Once) is a real-time object detection system that can detect objects in images and videos quickly and accurately. The deep learning algorithm is trained to recognize new objects and improve its accuracy over time.
Solution for CNN based digit recognition on MNIST dataset from Kaggle competition
An ASL trained Model which identifies the alphabets from the hand gestures
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
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