You will get a custom object detection model trained on your images
Project details
Need to detect and locate objects in images, not just classify them? I build custom object detection models trained on your specific dataset using PyTorch and OpenCV. You get a trained model with bounding box predictions, performance metrics, and clean documented code. Whether it's detecting products, defects, vehicles, or any custom object class, I handle data preparation, training, and evaluation from start to finish.
AI Development Type
Deep Learning, Model TuningAI Tools
Keras, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$35
|
Standard
$65
|
Advanced
$110
|
|---|---|---|---|
| Delivery Time | 4 days | 6 days | 9 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
+$10 - $30
Additional Revision
+$8
Additional Object Classes
(+ 1 Day)
+$15
Real-Time Video Detection
(+ 2 Days)
+$25Frequently asked questions
About Abdullah
Junior AI/ML Engineer & Data Science Student
Cairo, Egypt - 10:20 am local time
With hands-on experience in machine learning and data science, I specialize in:
• Building and deploying ML models (classification, regression, NLP)
• Data analysis & visualization (Python, Pandas, Matplotlib)
• Deep Learning (TensorFlow, PyTorch)
• Data cleaning, preprocessing & feature engineering
I focus on delivering practical AI solutions that actually work in the real world — not just in theory.
Feel free to message me and let's discuss how I can help with your project!
Steps for completing your project
After purchasing the project, send requirements so Abdullah can start the project.
Delivery time starts when Abdullah receives requirements from you.
Abdullah works on your project following the steps below.
Revisions may occur after the delivery date.
Data Preparation
Organize images, verify or create bounding box annotations, and split the dataset
Model Training
Train and fine-tune the object detection model on your specific object classes