You will get a custom YOLO object detection model trained on your data | Computer Vision
Project details
I will train a custom YOLO object detection model on your own images or video, so it detects exactly what you need rather than the generic COCO classes.
WHAT YOU GET
▸ A trained YOLO model (v8 or v11) built on your dataset
▸ Trained weights in .pt and ONNX format, ready to run anywhere
▸ A Python inference script you can run on images, video files or a live camera
▸ Training metrics - precision, recall, mAP50 and mAP50-95
▸ Visual results showing detections on held-out test images
HOW IT WORKS
1. You send me your images or video, and tell me what needs detecting
2. If your data isn't annotated yet, I'll quote annotation separately or you can use my annotation project
3. I prepare the dataset, apply augmentation suited to your environment, and train
4. I evaluate on a held-out set and share the metrics honestly - including where it struggles
5. You get the weights, the code, and a short guide on running it
BEFORE YOU ORDER
Message me with a few sample frames and what you need detected. I'll confirm feasibility and recommend the right tier - I'd rather turn down a project than deliver something that doesn't work.
WHAT YOU GET
▸ A trained YOLO model (v8 or v11) built on your dataset
▸ Trained weights in .pt and ONNX format, ready to run anywhere
▸ A Python inference script you can run on images, video files or a live camera
▸ Training metrics - precision, recall, mAP50 and mAP50-95
▸ Visual results showing detections on held-out test images
HOW IT WORKS
1. You send me your images or video, and tell me what needs detecting
2. If your data isn't annotated yet, I'll quote annotation separately or you can use my annotation project
3. I prepare the dataset, apply augmentation suited to your environment, and train
4. I evaluate on a held-out set and share the metrics honestly - including where it struggles
5. You get the weights, the code, and a short guide on running it
BEFORE YOU ORDER
Message me with a few sample frames and what you need detected. I'll confirm feasibility and recommend the right tier - I'd rather turn down a project than deliver something that doesn't work.
Machine Learning Tools
NumPy, NVIDIA AI Platform, OpenCV, Python, PyTorch, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$149
|
Standard
$349
|
Advanced
$699
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 12 days |
Number of Revisions | 1 | 3 | 5 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 1 | 5 | 8 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Frequently asked questions
About Haresh
Computer Vision Engineer | YOLO, OpenCV, PyTorch & Jetson Edge AI
Surat, India - 8:53 pm local time
My focus is real-time video analytics deployed on edge devices: object detection and tracking
running on NVIDIA Jetson, wired into live dashboards and alerting so the output is actually
usable by a business.
WHAT I BUILD
▸ Object Detection & Tracking - YOLO (v8/v11), custom-trained models on your own dataset, multi-object tracking, zone-based counting and dwell-time measurement.
▸ Retail & Hospitality Video Analytics - footfall counting, occupancy tracking, queue monitoring, and customer flow analysis from existing CCTV feeds.
▸ Compliance & Safety Monitoring - hygiene compliance detection, PPE detection, restricted- zone alerts, with real-time notification via Telegram, webhooks or email.
▸ ANPR / Licence Plate Recognition - plate detection, OCR, and logging pipelines for access control, parking and vehicle tracking.
▸ Edge AI Deployment - NVIDIA Jetson Orin Nano, model optimisation, TensorRT conversion, camera zone configuration, and multi-camera deployment.
▸ Dataset & Model Work - image annotation, dataset preparation, training, fine-tuning and accuracy evaluation.
WHAT MAKES MY DELIVERY DIFFERENT
Most computer vision freelancers hand you a model and a script. I deliver the whole system: the detection pipeline, the API around it, the database it writes to, and the dashboard your team actually looks at. I have a full-stack engineering background, so you don't need to hire a second developer to make the CV output usable.
TECH STACK
Vision & ML: Python · OpenCV · YOLOv8/v11 · PyTorch · TensorFlow · Roboflow · CVAT
Edge & Deployment: NVIDIA Jetson Orin Nano · TensorRT · ONNX · Docker
Delivery layer: FastAPI · REST APIs · PostgreSQL · React dashboards · WebSocket streams
Alerting: Telegram Bot API · webhooks · email/SMS triggers
HOW I WORK
Tell me what cameras you have, what environment they're in, and what you need detected. I'll tell you honestly whether it's feasible, what accuracy is realistic, and how I would approach it, before you commit to anything.
Send me a sample frame or short clip, and I will come back with a concrete plan.
(for search): computer vision engineer, computer vision developer, YOLO expert, YOLOv8 object detection, YOLOv11, OpenCV developer, PyTorch developer, deep learning engineer, edge AI deployment, NVIDIA Jetson developer, Jetson Orin Nano, TensorRT optimisation, real-time video analytics, object detection and tracking, people counting system, footfall analytics, occupancy monitoring, queue monitoring, retail video analytics, CCTV AI monitoring, surveillance AI, hygiene compliance detection, PPE detection, ANPR, licence plate recognition, image annotation specialist, dataset preparation, model training and fine-tuning, image segmentation, image classification, OCR, custom dataset creation, computer vision API, FastAPI computer vision, video processing pipeline
Steps for completing your project
After purchasing the project, send requirements so Haresh can start the project.
Delivery time starts when Haresh receives requirements from you.
Haresh works on your project following the steps below.
Revisions may occur after the delivery date.
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