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I will build a custom yolov8 object detection model
AI and ML Developer RAG, YOLO, FastAPI, React
I'm Muhammad Musif, AI/ML developer and CS student at FAST-NUCES (Pakistan). I build production AI: RAG chatbots for PDFs, computer vision (YOLOv8, ResNet), and full-stack FastAPI + React. Proven work...
Acerca de este Servicio
Need AI that can SEE and detect objects, defects, or patterns in images?
I build custom computer vision solutions using YOLOv8, trained on your data or fine-tuned from proven models.
WHAT YOU GET:
Custom YOLOv8 model (.pt weights)
Inference script or FastAPI API
Evaluation metrics (precision, recall, mAP)
Demo with predictions on your images
Full source code and documentation
USE CASES:
Manufacturing QC, solar panel inspection, agriculture, security, retail counting.
WHY ME:
I'm Muhammad Musif, FAST-NUCES AI developer. Built solar panel defect detection (YOLOv8 + FastAPI + React) and crop disease CV (ResNet18) on GitHub.
TECH: Python, YOLOv8, OpenCV, PyTorch, FastAPI, Streamlit/React
Message me your use case before ordering.
FAQ
I don't have labeled images. Can you help?
Yes. I'll guide you with Roboflow or LabelImg and use data augmentation for small datasets.
How many images do I need?
Minimum 50-100 per class for decent results. More images mean better accuracy.
Can this run on a phone or Raspberry Pi?
Yes. I can optimize to YOLOv8n nano for edge devices. Add the Mobile Edge extra.
Do you do classification, not detection?
Yes. I've built ResNet crop disease classifiers. Message me for classification projects.
