You will get vehicle counting solution using YOLOv5, YOLOv7, computer vision
Rising Talent
You will get vehicle counting solution using YOLOv5, YOLOv7, computer vision
Rising Talent
Project details
Vehicle Detection and Vehicle Counting on Custom Data. You will get a model file with complete source code, that you can use to detect and count a number of vehicles in a live video stream and also can deploy solutions to the market level. The delivery code implementation will be in PyTorch and the main code language will be Python. Feel free to reach me, If you are interested in People Detection and Counting.
What's included
| Service Tiers |
Starter
$85
|
Standard
$150
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 5 days | 6 days | 7 days |
Number of Revisions | 2 | 3 | 4 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5 - $10
Additional Revision
+$15
Additional Model Variation
(+ 2 Days)
+$15
Additional Scenario
(+ 3 Days)
+$25
Model Documentation
(+ 5 Days)
+$50Frequently asked questions
38 reviews
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This project doesn't have any reviews.
YY
Young Keun Y.
Apr 30, 2025
Motorcycle Lane Distribution
NS
Nkosinathi S.
Oct 6, 2023
Computer Vision Expert to Answer Questions on Courses.
Excellent to work with and exceeded all expectations in answering questions related to various courses. One of the standout qualities of Muhammed was their commitment to going above and beyond. They didn't just provide brief, surface-level answers. Instead, they took the time to provide in-depth responses that demonstrated their expertise and dedication to the job
MI
Mohamed I.
Jun 20, 2023
30 minute consultation
very good knowlede, worth the money
JG
Joe G.
May 20, 2023
Machine Learning - Computer Vision - Invited Freelancers Only
Muhammad did an excellent job on my project. He's very knowledgeable, intelligent, and highly capable. I hope to work with Muhammad again in the future.
JR
Jason R.
Apr 22, 2023
30 minute consultation
Muhammad seems knowledgeable. Looking forward to further discussions.
About Muhammad Rizwan
Computer Vision/YOLO/Jetson Development/Deep Learning/Machine Vision
100%
Job Success
Islamabad, Pakistan - 6:56 am local time
Key Skills & Expertise:
✅Object Detection: Advanced model implementation using YOLO and YOLOv7.
✅Image Classification & Segmentation: Expertise in enhancing image processing and recognition accuracy.
✅Pose Estimation: Precision solutions for understanding human and object poses.
✅Streamlit & Flask: Proficient in creating interactive web applications and deploying models.
✅Embedded Devices: Skilled in deploying machine learning models on platforms such as Jetson Nano and Jetson Xavier NX.
✅DeepStream SDK: Extensive experience in using NVIDIA's SDK for video analytics and AI-powered applications.
✅Open Source Contributions: Active GitHub contributor with 1k+ stars on personal repositories.
✅Research & Publications: Author of 4 research papers with nearly 100 citations, including IEEE publications.
My dedication to innovation and problem-solving keeps me ahead of industry trends, enabling me to deliver top-tier solutions. Through my active engagement with a 30k+ LinkedIn following and contributions to open-source projects, I demonstrate a strong commitment to knowledge sharing and community growth.
Whether you need a seasoned developer to deploy advanced computer vision models on embedded devices or a collaborator for impactful projects, I bring a proven track record of excellence. Let's connect to discuss how I can contribute to your next project.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Rizwan can start the project.
Delivery time starts when Muhammad Rizwan receives requirements from you.
Muhammad Rizwan works on your project following the steps below.
Revisions may occur after the delivery date.
Train the model on vehicle data
Add counting logic