Pinned Repositories
YOLO-World
[CVPR 2024] Real-Time Open-Vocabulary Object Detection
Detection-Contours
This repository contains implementations and comparisons of various contour detection techniques using OpenCV. The primary objective is to offer a comprehensive platform to explore, test, and compare the performance of these methods in detecting objects from a camera feed.
Publisher-Detection
This project uses ROS (Robot Operating System) and OpenCV to detect objects in images captured by a camera and publishes the results in a ROS topic. It is composed of two main nodes: a node for detecting objects and another for publishing the results.
YoloFaster_Rcnn-Detection
Repository with implementations and comparisons of two advanced object detection models: YOLO and Faster R-CNN. The goal is to provide a unified platform to explore, test, and compare the performance of these models across diverse datasets and scenarios.
YoloKeras-Detection
Repository with implementations and comparisons of two advanced object detection models: YOLO and Keras. The goal is to provide a unified platform to explore, test, and compare the performance of these models across diverse datasets and scenarios.
yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
AntonioPedro07's Repositories
AntonioPedro07/Detection-Contours
This repository contains implementations and comparisons of various contour detection techniques using OpenCV. The primary objective is to offer a comprehensive platform to explore, test, and compare the performance of these methods in detecting objects from a camera feed.
AntonioPedro07/Publisher-Detection
This project uses ROS (Robot Operating System) and OpenCV to detect objects in images captured by a camera and publishes the results in a ROS topic. It is composed of two main nodes: a node for detecting objects and another for publishing the results.
AntonioPedro07/YoloFaster_Rcnn-Detection
Repository with implementations and comparisons of two advanced object detection models: YOLO and Faster R-CNN. The goal is to provide a unified platform to explore, test, and compare the performance of these models across diverse datasets and scenarios.
AntonioPedro07/YoloKeras-Detection
Repository with implementations and comparisons of two advanced object detection models: YOLO and Keras. The goal is to provide a unified platform to explore, test, and compare the performance of these models across diverse datasets and scenarios.