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$
USD
I will build custom computer vision model and object detection
Data, AI, ML, Vision: Solving Your Insight Puzzle!
Do you struggle to make sense of messy data, get stuck building ML models, or can’t turn insights into visual stories? I provide expert data science, analysis, machine & deep learning, computer vision...
About this Gig
Need a custom Computer Vision model for object detection, image classification, or segmentation, but tired of generic models that fail on your real images?
You are in the right place.
I am Muhammad Abdullah, a Data Science graduate specializing in Python, Deep Learning, and Computer Vision. I build custom-trained Computer Vision models engineered for high accuracy, real-time speed, and clean code integration.
Whether you need to detect objects in video feeds, inspect defects on products, classify medical or agricultural images, or segment contours with OpenCV, I deliver working, verified solutions with complete source code.
WHAT I CAN BUILD FOR YOU:
Custom Object Detection: YOLOv8, YOLOv9, Faster R-CNN (custom bounding boxes & counting)
Image Classification: ResNet, MobileNet, EfficientNet, custom CNN architectures
Image Segmentation: Otsu's thresholding, contour extraction, background masking
Video Stream & Webcam Analytics: Frame-by-frame inference and tracking
Classical Computer Vision: OpenCV filtering, Canny edge detection, Sobel, Prewitt
Interactive Web Demos: Streamlit or Gradio apps to test your model live in your browser
Model Formats & Export: PyTorch (.pt), ONNX.
APIs:
Microsoft Computer Vision AI
Expertise:
Image processing
•
Feature learning
•
Classification
Programming language:
Python
•
R
•
SQL
•
Colab
Frameworks:
Scikit-learn
•
DeepPy
•
SimpleCV
•
PyTorch
•
Panda
FAQ
What if my images are not labeled or annotated yet?
Send me your raw images! I can guide you on using free annotation tools (like Roboflow or LabelImg) or handle the formatting as part of a custom offer.
Which deep learning frameworks do you work with?
I primarily work with Python, Ultralytics YOLOv8, PyTorch, OpenCV, Albumentations, and NumPy.
Can I run the model on my own laptop or Google Colab?
Yes! I provide modular inference scripts and Jupyter Notebooks tested to run locally on CPU/GPU or on free Google Colab instances.
What deliverables will I receive?
You will receive the trained model weights file (.pt or .onnx), clean inference scripts (`detect.py`), Jupyter Notebooks (.ipynb), sample detection outputs, and a README setup guide.
Can you build a web app to test the model live?
Yes! In the Premium package, I build an interactive Streamlit web app where you can drag and drop images to see detection bounding boxes in real time.
What if my project is complex or has a large dataset?
Simply send me a direct message! We will discuss your exact requirements and timeline, and I will prepare a customized proposal.
