You will get an image recognition system using PyTorch or TensorFlow
Rising Talent
Rising Talent
Project details
I will build a high-quality image classification model using modern deep learning techniques and frameworks such as PyTorch, tensorFlow, and Hugging Face Transformers.
This service is ideal for applications such as product classification, medical imaging, defect detection, and custom AI solutions. I can work with pre-trained models or fine-tune a model on your dataset to achieve accurate and reliable results.
I follow a complete end-to-end workflow including data preprocessing, model development, evaluation, and optimisation. My focus is on delivering efficient, scalable, and production-ready solutions tailored to your specific use case.
You will receive a trained model, clean and well-structured source code, and performance evaluation. Optional deployment support is also available.
This service is ideal for applications such as product classification, medical imaging, defect detection, and custom AI solutions. I can work with pre-trained models or fine-tune a model on your dataset to achieve accurate and reliable results.
I follow a complete end-to-end workflow including data preprocessing, model development, evaluation, and optimisation. My focus is on delivering efficient, scalable, and production-ready solutions tailored to your specific use case.
You will receive a trained model, clean and well-structured source code, and performance evaluation. Optional deployment support is also available.
Machine Learning Tools
Python, PyTorch, TensorFlowWhat's included
| Service Tiers |
Starter
$10
|
Standard
$15
|
Advanced
$20
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 4 | 3 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $40
Additional Revision
+$10
Additional Model Variation
(+ 1 Day)
+$20
Model Validation/Testing
(+ 1 Day)
+$15Frequently asked questions
About Ibrahim
Computer Vision Engineer | Image AI & Object Detection
Doha, Qatar - 8:03 pm 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.
Requirement Analysis
Understand dataset, labels, and project goals.
Data Preprocessing
Clean, preprocess, and structure image data for training.