I will build a real time object detection system using yolo for people, vehicles,object

Certaines informations sont présentées en anglais.

Danemark

Je parle Anglais, Espagnol

Object Detection, YOLOv8, OpenCV, Pose Estimation, Mediapipe, OpenPose, Software

AI-powered computer vision & deep learning solutions for real-world applications. My services include object detection, YOLOv8, OpenCV, pose estimation, Mediapipe, OpenPose, image segmentation, backgr...
À propos de ce service

Need an ultra-fast, real-time object detection system? I will build a custom object detection engine utilizing state-of-the-art YOLO architectures to instantly identify people, vehicles, or any unique custom classes you require. This service is optimized for live video feeds, security systems, and high-speed automated environments.


I specialize in configuring and custom-training models to operate with low inference latency and high accuracy. I can optimize the pipeline to process video files, RTSP IP camera streams, or live webcam inputs while managing hardware resource consumption.


What I offer: full data pipeline setup, hyperparameter optimization for live object detection, multi-class bounding box calibration, and raw system performance tuning (FPS optimization). I deliver modular Python code integrated with OpenCV for seamless video handling. Let's build a fast, production-grade automated vision detector. Send me a message to map out your real-time detection pipeline!

APIs:

Microsoft Computer Vision AI

Amazon Rekognition

Expertise:

Traitement d'images

Langage de programmation:

Python

SQL

Colab

NoSQL

MLflow

Outils:

Jupyter Notebook

opencv

OpenNN

tensorflow

MLflow

SimpleCV

Frameworks:

Scikit-learn

DeepPy

Google ML Kit

keras

PyTorch

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