I will build a computer vision model for object detection
AI, ML and Backend Engineer specializing in Python and LLM
About this Gig
Turn your images or video into data. I build computer vision models for
detection, classification, tracking and OCR trained on your data and
delivered as clean, runnable code or an API.
What I can do:
Object detection (YOLOv8/v11, Faster R-CNN) count, locate, track objects
Image classification on your custom categories
Segmentation, OCR, face/pose detection
Data labeling guidance, augmentation and model training
Inference script or FastAPI endpoint you can plug into your product
You get:
A trained model + evaluation metrics (precision / recall / mAP)
Clean, documented Python code you fully own
Honest advice on what's realistic with your data
Not sure if it's feasible? Message me with your use case and a few sample
images I'll tell you straight what accuracy to expect.
APIs:
Other
Programming language:
Python
•
SQL
•
Colab
•
NoSQL
•
MLflow
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Excel
•
Colab
•
PyTorch
Frameworks:
Scikit-learn
•
PyTorch
•
Panda
FAQ
I don't have labeled data — can you help?
Yes. I'll guide you on labeling, or use pre-trained models / augmentation to work with small datasets.
What accuracy can I expect?
It depends on your data and task — send a few samples and I'll give you an honest estimate before you order.
Which framework do you use?
PyTorch, Ultralytics YOLO, OpenCV — chosen to fit your task.

