A scout drone using the programmable drone Tello.

A Keras implementation of YOLOv3 (Tensorflow backend)

الكشف عن الأغراض باستخدام خوارزمية يولو الإصدار الثالث YOLOv3 ضمن كيراس Keras.

Networks

Train a YOLOv3 model

Developed a comprehensive GTU student portal leveraging web technologies to streamline academic management, including grade tracking, attendance, and notifications. This project demonstrates proficiency in full-stack development, database management, and user interface design, providing an efficient solution for educational institutions.

developing helmet and cellphone detection for bike rider

A docker-based object detection application orchestrated by k8s. Object-detection uses YOLO tiny and OpenCV for detection and image transformations.

Embedded C++ code for using YOLOv3 and OpenCV (image manipulation, tracking using MedianFlow algorithm) in object detection and tracking using live camera feed from two Basler Dart cameras connected to the Raspberry Pi 4B.

Using YOLO (You Only Look Once) object detection algorithm to detect persons and cars.

Using Apache MXNet Gluon 0.3 for YOLO3 Pretrained model in the zoo!

A simple Node Red subflow for People and Pets detection in Home Automation

An app for handwritten digit detection

Retrain the yolo3 model with TensorFlow and your own Dataset

Google Colab Notebook for creating and testing a Tiny Yolo 3 real-time object detection model.

This is the whole Code for Person Detection using Aerial surveillance for Human Rescue. In this you can count no of person in an Image or saved video or using webcam. This is different in the sense that it can count no of person in live camera. For more help you can mail me at ishandwivedi1000@gmail.com. THANKS

YOLO v3 object detection trained on COCO with CLI interface. OpenCV and TensorFlow Keras implementations and comparison.

The project that detects the interpersonal social distance from videos using YOLOv3

combine state of art deep neural network based detectors with most efficient trackers to solve motion based multiple objects tracking problems