You will get I will build a YOLO object detection system for images or video
Project details
I develop real-world computer vision systems for object detection and video analysis.
I have experience working with multiple modern detection architectures including YOLOv4, YOLOv8, YOLOv11, YOLO-NAS and custom-trained models. I build detection pipelines that run on images, video streams and edge devices.
What I can build for you:
• Custom object detection models trained on your dataset
• Real-time detection systems for CCTV or video streams
• Detection pipelines using YOLOv4 / YOLOv8 / YOLOv11 / YOLO-NAS
• Image and video processing systems with OpenCV
• AI-powered inspection, monitoring or analytics tools
I focus on building solutions that actually work in production environments, not just research demos.
Technologies I commonly use:
Python, OpenCV, PyTorch, YOLOv4, YOLOv8, YOLOv11, YOLO-NAS.
If you need a reliable computer vision engineer to build or train an object detection system, feel free to contact me.
I have experience working with multiple modern detection architectures including YOLOv4, YOLOv8, YOLOv11, YOLO-NAS and custom-trained models. I build detection pipelines that run on images, video streams and edge devices.
What I can build for you:
• Custom object detection models trained on your dataset
• Real-time detection systems for CCTV or video streams
• Detection pipelines using YOLOv4 / YOLOv8 / YOLOv11 / YOLO-NAS
• Image and video processing systems with OpenCV
• AI-powered inspection, monitoring or analytics tools
I focus on building solutions that actually work in production environments, not just research demos.
Technologies I commonly use:
Python, OpenCV, PyTorch, YOLOv4, YOLOv8, YOLOv11, YOLO-NAS.
If you need a reliable computer vision engineer to build or train an object detection system, feel free to contact me.
Machine Learning Tools
NumPy, OpenCV, Python, PyTorch, TensorFlowWhat's included
| Service Tiers |
Starter
$120
|
Standard
$180
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 1 | 2 |
Number of Scenarios | 1 | 0 | 3 |
Number of Graphs/Charts | 0 | 0 | 0 |
Model Validation/Testing | - | ||
Model Documentation | - | - | |
Data Source Connectivity | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$40 - $60
Additional Revision
+$20About Elif
Computer Vision Engineer | AI | YOLO Object Detection | Python |OpenCV
Samsun, Turkey - 11:40 am local time
My focus is real-time object detection and video analysis on both cloud and edge platforms (NVIDIA Jetson, embedded Linux). I have worked on systems used in UAV and ground vehicle applications where latency and accuracy are critical.
TECHNOLOGIES I WORK WITH
• Object detection & tracking — YOLOv5 / YOLOv8, custom model training, dataset preparation
• Video processing — OpenCV pipelines, frame-level analysis, multi-camera systems
• Edge AI deployment — NVIDIA Jetson (Nano / Xavier), TensorRT optimization, embedded Linux inference
• Backend integration — Python, FastAPI, REST APIs, SQLite / PostgreSQL
WHAT I CAN BUILD FOR YOU
• Custom object detection models trained on your data
• Real-time video analysis pipelines (RTSP, webcam, or video files)
• Edge AI systems optimized for low-latency inference
• CCTV / security camera analytics
• Defect detection and quality control vision systems
• Drone / vehicle perception modules
I write clean, well-documented code and communicate clearly throughout the project.
If you need a working computer vision solution — not just a prototype — feel free to contact me.
Steps for completing your project
After purchasing the project, send requirements so Elif can start the project.
Delivery time starts when Elif receives requirements from you.
Elif works on your project following the steps below.
Revisions may occur after the delivery date.
Project Requirements Review
I review the dataset, project goals and detection requirements to understand the objects and environment for the model.
Model Development
I build or configure the object detection pipeline using YOLO and optimize it for the given images or video streams.