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)
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
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.
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.
Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )
This repositary contain all my exercises and projects of Udacity Computer Vision Nanodegree Program
Pre-trained VGG-Net Model for image classification using tensorflow
Genre Classification using Convolutional Neural Networks
TensorFlow Lite object detection example for Raspberry Pi Zero
Python module for face recognition with OpenCV and Deep Learning.
Google MediaPipe Javascript Demos (including live demos)
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)
Used Convolutional Deep Neural nets to extract features from the image
Segmenting WSIs using Deep Convolutional Neural Networks
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.
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…
C++ and Python implementation of a automatic system for pedestrian detection at night using far infrared visual information based on convolutional neural networks.
Implement SS-CNN "Dubey et al. Deep Learning the City ECCV16"
Resume Parsing app to extract information using AI
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