You will get Costume YOLO Object Detection model (YOLOv5, YOLOv7, YOLOv8, YOLOv10)
Top Rated

Project details
You will receive an accurate YOLO object detection model. With over 3 years of experience and more than 70 projects completed, I have gained strong expertise in this area, enabling me to deliver high-quality computer vision solutions to clients.
Machine Learning Tools
NumPy, OpenCV, Python, Python Scikit-LearnWhat's included
| Service Tiers |
Starter
$300
|
Standard
$600
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 7 days | 10 days | 15 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Number of Model Variations | 1 | 1 | 1 |
Number of Scenarios | 1 | 1 | 1 |
Number of Graphs/Charts | 1 | 1 | 10 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$500 - $1,200
Additional Model Variation
(+ 2 Days)
+$100
Additional Scenario
(+ 2 Days)
+$100
Additional Graph/Chart
(+ 1 Day)
+$20
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About Nassim
Expert Machine Learning Engineer | Computer Vision and Deep Learning
100%
Job Success
Carthage, Tunisia - 12:26 pm local time
Over the past 5+ years, I have designed, trained, optimized, and deployed computer vision solutions across medical imaging, biotechnology, agriculture, remote sensing, and industrial applications.
✦ Core Specializations
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⚡ Object Detection & Real-Time Inference
Custom detection pipelines built on YOLO, RT-DETR, RF-DETR & Detectron2. Single-modal and multi-modal. Optimized for speed, accuracy, and edge deployment — not just benchmark scores.
⚡ Medical & Biotech Image Analysis
Classification, segmentation & prediction systems for clinical and research environments. Calibrated outputs, ordinal grading, custom loss functions designed for domain-specific constraints where off-the-shelf fails.
⚡ Multispectral & Aerial Computer Vision
RGB, NIR, thermal — cross-modal fusion architectures for remote sensing, livestock monitoring & precision agriculture. Full pipeline ownership from raw sensor calibration to production-ready detection.
⚡ Video Intelligence & Motion Analysis
Action recognition, temporal modeling & tracking from video. Real-time inference pipelines containerized and deployed on cloud GPU infrastructure.
✦ Technical Stack
───────────────────────────────────────────
Computer Vision:
PyTorch · OpenCV · YOLO · RT-DETR · RF-DETR · Detectron2 · DINOv2 · Vision Transformers · SAM
Image Processing:
Camera Calibration · ChArUco · ArUco · Chessboard Calibration · Fisheye Calibration · Stereo Calibration · Image Undistortion · Image Rectification · Geometric Vision
Machine Learning:
Deep Learning · Classification · Segmentation · Tracking · Action Recognition · Pose Estimation · Multi-Modal Learning
Deployment & MLOps:
FastAPI · Docker · AWS · GCP · ONNX · TensorRT · CI/CD
✦ What to Expect
───────────────────────────────────────────
Requirements Discovery → Solution Design → Structured Milestones → Weekly Demos & Progress Updates → Production-Grade Delivery → Post-Deployment Support
→ Send a message with project details to get started.
Steps for completing your project
After purchasing the project, send requirements so Nassim can start the project.
Delivery time starts when Nassim receives requirements from you.
Nassim works on your project following the steps below.
Revisions may occur after the delivery date.
Project Discussion and Deliverables Agreement
Having a Zoom meeting or at least exchanging text messages to discuss and ensure the client's needs are met and to agree on all deliverables

