I will train enterprise ai models for real time yolo object detection


About this gig
Are you looking for a powerful, real-time Computer Vision solution? Do you need a custom Object Detection, Instance Segmentation, or Classification model trained precisely for your unique dataset? Look no further!
I am an AI Engineer specializing in Deep Learning and Computer Vision. I will train a state-of-the-art YOLOv8 or YOLOv11 model tailored to your specific requirementswhether it is for surveillance event detection, automated item counting, sports analytics, or academic research projects.
️ What I Offer in This Gig:
- Dataset Preprocessing & Annotation
- Custom Model Training
- Comprehensive Evaluation
- Inference Script Deployment
- Tracking & Deployment (Premium)
Technical Stack:
- Frameworks: Ultralytics YOLO, PyTorch, OpenCV
- Tools: Roboflow, LabelImg/Labelme
- Environment: Kaggle, Google Colab, Jupyter Notebooks
Note to Buyers:
- Please message me to discuss your custom project goals, dataset availability, and specific edge-device deployment limits before placing an order!
Get to know Abdul Samad
AI Engineer, Data Scientist, Machine Learning Specialist, AI Developer
- FromPakistan
- Member sinceFeb 2023
- Avg. response time1 hour
Languages
English
FAQ
Q1: What do I need to provide to start the project?
A: You should provide your raw dataset (images or video clips) and a clear list of objects/classes you want the model to detect. If your dataset is already labeled, please provide the annotations in YOLO format or a Roboflow export link.
Q2: What if I don't have a labeled dataset yet?
A: No problem at all! If you have raw images or videos, select my Standard or Premium packages. I can assist you with data annotation and structuring using tools like Roboflow or LabelImg to make it ready for training.
Q3: What files will I receive upon project delivery?
A: Depending on your package, you will receive the fully trained model weights file (best.pt), the model evaluation charts (confusion matrix, F1-curve, etc.), and an optimized Python deployment script (inference.py) to process videos or live camera feeds.
Q4: Can these models run on low-power devices like a Raspberry Pi or CPU?
A: Yes! If you intend to deploy the model on a CPU or edge device, I will train a YOLO Nano (yolov8n / yolov11n) variant and help export it to optimized formats like ONNX or OpenVINO to ensure high FPS execution.

