You will get an object detection system using PyTorch or Hugging Face
Rising Talent
Rising Talent
Project details
I will build a high-quality object detection system using Hugging Face Transformers and modern deep learning techniques. This service is ideal for applications such as image analysis, automation, security systems, and AI-powered computer vision solutions.
I can work with pre-trained models or fine-tune a custom object detection model on your dataset, depending on your requirements. I focus on delivering clean, efficient, and well-documented solutions that are ready for real-world use.
My workflow includes data preparation, model development, evaluation, and optional deployment support. I use tools such as Python, PyTorch, TensorFlow, and Hugging Face libraries to ensure accurate and scalable results.
You will receive:
• Clean and structured source code
• A trained object detection model
• Documentation and usage guidance
• Optional API or application deployment
I aim to provide reliable, efficient, and professional AI solutions tailored to your needs.
I can work with pre-trained models or fine-tune a custom object detection model on your dataset, depending on your requirements. I focus on delivering clean, efficient, and well-documented solutions that are ready for real-world use.
My workflow includes data preparation, model development, evaluation, and optional deployment support. I use tools such as Python, PyTorch, TensorFlow, and Hugging Face libraries to ensure accurate and scalable results.
You will receive:
• Clean and structured source code
• A trained object detection model
• Documentation and usage guidance
• Optional API or application deployment
I aim to provide reliable, efficient, and professional AI solutions tailored to your needs.
Machine Learning Tools
Python, PyTorchWhat's included
| Service Tiers |
Starter
$10
|
Standard
$20
|
Advanced
$25
|
|---|---|---|---|
| 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 | 0 | 1 | 2 |
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
Additional Scenario
(+ 1 Day)
+$15
Model Deployment
(+ 2 Days)
+$40Frequently asked questions
About Ibrahim
Computer Vision Engineer | Real-Time Visual Perception & Deep Learning
Doha, Qatar - 10:53 am 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 your use case, dataset, object classes, and expected output format.
Data Preprocessing
Clean and preprocess images and annotations for object detection training.