You will get Custom Trained YOLOv8/v11/v26 Object Detection on Custom Data
Project details
You will get a computer vision model (e.g. YOLO) trained on your custom data. The model will be trained according to your specific business case and inference requirements. With more than 14 year in the industry, we don't train a model, we understand what your business needs and provide a solution that directly addresses the pain points. Whether you are looking to monitor the customer behavior on your business floor, or want to identify safety hazards on factory floor, I have you covered.
Get in touch to schedule a meeting.
Get in touch to schedule a meeting.
Machine Learning Tools
OpenCV, Python, PyTorchWhat's included
| Service Tiers |
Starter
$100
|
Standard
$300
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 15 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 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
+$60 - $1,500
Fast API App
(+ 2 Days)
+$100Frequently asked questions
About Asrar
Computer Vision & ML Engineer | YOLO PyTorch Production Deployment
Gujrat, Pakistan - 7:06 pm local time
I'm a Computer Vision and Machine Learning engineer with hands-on experience turning complex visual problems into clean, production-ready solutions. My background in Mechanical Engineering gives me an edge that pure CS grads often lack: I understand real-world industrial constraints, physical tolerances, and why your model needs to perform reliably under imperfect conditions — not just on a clean benchmark dataset.
Here's what I bring to your project:
🔍 Computer Vision: Object detection, image segmentation, and classification using YOLOv8/v11, PyTorch, TensorFlow, and OpenCV — fine-tuned for your specific domain.
🏭 Industry experience: I've worked on CV problems in healthcare/medical imaging, manufacturing quality control, retail, and agriculture. I know the edge cases that matter in each domain.
🚀 Production deployment: I don't stop at model training. I deploy models as robust APIs using FastAPI/Flask, optimize with ONNX/TensorRT, and integrate with cloud platforms (AWS, GCP, Azure).
📐 Clean, documented code: Every deliverable comes with clear documentation so your engineering team can understand, maintain, and build on it — no black boxes.
What makes working with me different: I communicate in plain language. You'll always know what stage your project is at, what's working, and what needs adjustment — without needing a PhD to follow along.
I work best with mid-size tech teams who need a reliable, detail-oriented engineer to own a CV module end-to-end — from dataset preparation with Roboflow/LabelStudio to a live, monitored deployment.
Let's talk about your project. Message me with a brief description and I'll respond within 24 hours with honest feedback on what's feasible.
Steps for completing your project
After purchasing the project, send requirements so Asrar can start the project.
Delivery time starts when Asrar receives requirements from you.
Asrar works on your project following the steps below.
Revisions may occur after the delivery date.
Steps to Project Completion
1. Schedule a Meeting to understand the exact project requirements, available data, and target performance levels. 2. Train the model using custom data. 3. Deliver the model and source code as per agreed project requirements.