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
$5
|
Standard
$10
|
Advanced
$15
|
|---|---|---|---|
| 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 | Real-Time Visual Perception & Deep Learning
Doha, Qatar - 5:03 pm local time
Core Areas of Work:
Real-Time Visual Perception
• Engineering perception systems for continuous real-time scene understanding
• Developing deep learning pipelines for object detection and recognition
• Building semantic and instance segmentation systems for spatial scene analysis
• Designing depth estimation and 3D vision workflows for geometric understanding of environments
• Processing high-throughput visual streams with low-latency inference requirements
Deep Learning Vision Systems
• Designing and optimising pretrained model architectures for computer vision applications
• Deploying inference pipelines for detection, segmentation, and depth-based perception tasks
• Transforming model outputs into structured scene representations and actionable intelligence
• Integrating perception systems into larger AI and operational infrastructures
• Engineering scalable pipelines for continuous visual data processing
Production AI Systems
• Deploying computer vision models into production-grade environments
• Building resilient AI systems designed for continuous operation under real-world conditions
• Monitoring model performance, inference stability, and operational reliability
• Designing scalable AI infrastructure for high-availability perception workloads
• Engineering robust pipelines capable of handling environmental variability and noisy inputs
Ibrahim operates at the intersection of computer vision, deep learning, and production AI engineering, where advanced perception models evolve into reliable real-time systems capable of delivering scalable and operationally stable visual intelligence.
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.