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Object-tracking-and-counting-using-YOLOV8
This repository contains the code for an object detection, tracking and counting project using the YOLOv8 object detection algorithm and the SORT (Simple Online and Realtime Tracking) algorithm for object tracking. The project has been implemented using object-oriented programming principles in Python.YOLOv8-custom-object-detection
This repository showcases the utilization of the YOLOv8 algorithm for custom object detection and demonstrates how to leverage my pre-developed modules for object tracking and counting tasks.Visualizing-what-convnets-learn
This Github repository explains the impact of different activation functions on CNN's performance and provides visualizations of activations, convnet filters, and heatmaps of class activation for easier understanding of how CNN works.Sensor-data-visualization-with-esp32-and-python
This projects consists of sending DHT11 sensor data acquired on a esp32 board and visualizing the data with a python script using matplotlibKeras-CNN-cats-vs-dogs-image-classification
This project is an image classification project using a deep-learning based on Convolutional Neural Networks (CNNs) with Keras. The Dogs vs. Cats is a classic problem for anyone who wants to dive deeper into deep-learning.YOLOv8-Object-Counter
YOLOv5-object-detection
This GitHub repository showcases simple object detection using different YOLOv5-based models on images and videos.YOLOv3-simple-object-detection
This GitHub repository showcases simple object detection using YOLOv3 and Tiny YOLOv3 models on images and videos.Birds-450-species-image-classification
This project is an image classification task of 450 bird species using the MobileNetV2 architecture.mohamedamine99
esp32-iot-temperature-and-humidity-monitoring-with-firebase-real-time-data-base
Facial-recognition-with-dlib
This project uses dlib library to detect and identify faces from imagesNinja-Fruit-Like-Game-with-hand-gesture-and-opencv
Neural-Network-from-scratch
This project involves creating a Neural Network from scratch, which would have provided an understanding about the fundamental concepts behind neural networks and the implementation of these concepts in code, as well as experience in designing, training and evaluating machine learning models from scratch.Transfer-Learning-with-MobileNetV2-for-Cats-vs-Dogs-Image-Classification
This project is an image classification project based on a transfer learning approach using with MobileNetV2 architecture.Digital-Lock-with-VHDL-state-machine
IOT-devices-enclosures-3d-conception-with-solidworks
Virtual-Painter-Using-OpenCV-and-Hand-Detection
My-pipeline-for-data-preprocessing-for-image-classification-tasks
Data collection and preprocessing: This includes collecting a large dataset of labeled images, and then preprocessing the images by resizing, normalizing, and augmenting them to ensure that the model is not overfitting.INTEL-landscape-classification
This is an image classifier of Natural Scenes around the world.Neural-Style-Transfer-with-Python
This repository provides an easy-to-use implementation of neural style transfer, allowing you to apply the artistic style of one image to the content of another. Choose between the functional approach and the object-oriented programming (OOP) approach based on your preference and project requirements.MNIST-Digits-and-Fashion-CNN-image-classifiers
This project is a MNIST Digits and Fashion CNN image classifier.Object-Detection-with-YOLOv3-and-FastAPI
A streamlined implementation showcasing object detection using YOLOv3 and FastAPI, enabling seamless integration of advanced computer vision capabilities into web applications.Love Open Source and this site? Check out how you can help us