You will get Accurate Object Detection and Classification Model for Your Images
Project details
You will get a powerful object detection and classification model built using YOLOv8, one of the most advanced and efficient deep learning architectures for real-time image analysis. This project will help you automatically detect, localize, and classify multiple objects in your images or videos with exceptional accuracy and speed.
With strong expertise in Computer Vision, Deep Learning, and Model Optimization, I will handle the full workflow — from data preprocessing and annotation to training, fine-tuning, and performance evaluation using YOLOv8.
Your final deliverable will include the trained model, prediction scripts, and documentation, ensuring it’s easy to use and integrate into your applications. The solution will be customized to your dataset and goals, providing production-ready results that help your project or business make intelligent, automated decisions using cutting-edge AI technology.
With strong expertise in Computer Vision, Deep Learning, and Model Optimization, I will handle the full workflow — from data preprocessing and annotation to training, fine-tuning, and performance evaluation using YOLOv8.
Your final deliverable will include the trained model, prediction scripts, and documentation, ensuring it’s easy to use and integrate into your applications. The solution will be customized to your dataset and goals, providing production-ready results that help your project or business make intelligent, automated decisions using cutting-edge AI technology.
AI Development Type
Deep Learning, Model TuningAI Tools
OpenCV, PyTorchAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$15
|
Standard
$20
|
Advanced
$25
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | ||
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | - | - | |
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5About Ahmed
Data Scientist | Machine Learning, Deep Learning & AI Solutions
Giza, Egypt - 11:17 pm local time
My approach begins with understanding the data, ensuring it is clean, structured, and ready for analysis. From there, I apply statistical techniques and machine learning methods to identify patterns, build predictive models, and optimize performance for reliable results. I have experience working with both structured and unstructured data, and I know how to design models that adapt to different challenges.
Beyond analysis and modeling, I also focus on making solutions practical and accessible. Whether it’s developing a predictive system, creating a deep learning model, or delivering well-organized reports, I make sure the outcomes are clear, actionable, and aligned with client goals. I also work on building user-friendly applications that integrate AI models, allowing clients to use advanced technologies in an easy and effective way.
What I offer:
Comprehensive data analysis and visualization to uncover trends and insights.
Development of machine learning models for accurate and reliable predictions.
Deep learning solutions for complex data such as images, text, or large datasets.
Web scraping and data collection to build clean, structured datasets.
Delivery of easy-to-use, data-driven applications that support decision-making.
My objective is to provide solutions that are not only technically accurate but also impactful helping clients make informed decisions, improve efficiency, and achieve long-term success through data-driven strategies.
Steps for completing your project
After purchasing the project, send requirements so Ahmed can start the project.
Delivery time starts when Ahmed receives requirements from you.
Ahmed works on your project following the steps below.
Revisions may occur after the delivery date.
Upload dataset & annotations
Upload dataset (ZIP or download link) and annotations (COCO/VOC/YOLO or CSV). If unlabeled, indicate "annotation needed" and provide class names plus ~20+ sample images per class to ensure quality.