You will get a computer vision system using either PyTorch, TensorFlow or Hugging Face
Rising Talent
Rising Talent
Project details
I will develop a high-quality Computer Vision and Deep Learning solution tailored to your specific problem. Whether you need image classification, object detection, or a custom AI model, I can build an efficient and reliable system using modern tools such as PyTorch, TensorFlow, PyTorch , and Hugging Face.
I focus on delivering clean, well-structured code and practical solutions that can be used in real-world applications. From data preprocessing to model training and optimisation, I handle the full development pipeline to ensure strong performance and usability.
🔹 What you will get:
• Custom computer vision model (classification or detection)
• Clean, well-documented Python code
• Trained model and results
• Performance evaluation and improvements
🔹 Technologies I use:
PyTorch, TensorFlow, Hugging Face, Python
I prioritise clear communication, timely delivery, and high-quality results. Let’s build an intelligent solution for your project.
I focus on delivering clean, well-structured code and practical solutions that can be used in real-world applications. From data preprocessing to model training and optimisation, I handle the full development pipeline to ensure strong performance and usability.
🔹 What you will get:
• Custom computer vision model (classification or detection)
• Clean, well-documented Python code
• Trained model and results
• Performance evaluation and improvements
🔹 Technologies I use:
PyTorch, TensorFlow, Hugging Face, Python
I prioritise clear communication, timely delivery, and high-quality results. Let’s build an intelligent solution for your project.
AI Development Type
Deep Learning, Model TuningAI Tools
Keras, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$20
|
Standard
$25
|
Advanced
$30
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 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
+$20 - $40
Additional Revision
+$10
Model Deployment
(+ 2 Days)
+$40
Data Preprocessing
(+ 1 Day)
+$20
Model Optimisation
(+ 2 Days)
+$25Frequently asked questions
About Ibrahim
Computer Vision Engineer | Image AI & Object Detection
Doha, Qatar - 4:58 am local time
Images may need to be classified. Objects may need to be detected. Defects may need to be identified. Visual data may need to be cleaned, organised, labelled, analysed, or used to test whether computer vision can solve a real problem.
That is where I help.
I am Ibrahim, and I provide image-based Computer Vision and Deep Learning services for clients who want to explore, build, or improve practical AI solutions using images.
I focus on clear and realistic computer vision work, including:
- Image classification
- Object detection
- Defect detection and visual inspection
- Image segmentation
- Visual recognition
- Image preprocessing
- Dataset preparation and cleaning
- Annotation review and label quality checks
- Model training and fine-tuning
- Model evaluation and accuracy improvement
- Computer vision prototype development
Typical projects I can support:
- Building a proof of concept for an image-based AI idea
- Training a model on a custom image dataset
- Improving an existing model’s accuracy
- Reviewing image data before model training
- Checking whether labels or annotations are suitable
- Detecting objects, products, defects, or visual features in images
- Classifying images into categories
- Segmenting important areas in an image
- Testing whether computer vision is suitable for a specific use case
How I usually start:
- I first review the project goal, available images, labels or annotations, expected output, and the practical problem the client wants to solve.
Then I identify the main gap:
- Is the data good enough?
- Are the labels consistent?
- Is the model approach suitable?
- Is the output useful for the client’s decision or workflow?
This helps keep the project focused and practical.
My goal is not only to train a model, but to help clients understand whether computer vision can solve their visual problem in a useful and realistic way.
For many projects, the best first step is not a full AI system. It may be a small prototype, a dataset review, a model test, or an accuracy improvement plan. This gives the client a clearer technical direction before investing more time or budget.
I work best with clients who have image data and want to know whether AI can classify, detect, segment, inspect, or analyse it reliably.
If you have an image-based AI idea or an existing computer vision project, I would be happy to review it and suggest the best next step.
Steps for completing your project
After purchasing the project, send requirements so Ibrahim can start the project.
Delivery time starts when Ibrahim receives requirements from you.
Ibrahim works on your project following the steps below.
Revisions may occur after the delivery date.
Understanding Requirements
Review your project goals, dataset, and desired outputs to define the best approach.
Data Preprocessing
Clean, preprocess, and prepare the dataset for training (formatting, resising, labeling if needed).