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$
USD
I will build custom yolo object detection and computer vision models
Full Stack Dev React,Angular,WP, Computer Vision Engineer
I am a curious technologist exploring the intersections of AI, cybersecurity, and hybrid software architectures. I am passionate about research and development to build secure and scalable solutions f...
About this Gig
Looking for a production-ready Computer Vision and Object Detection solution? I specialize in training, optimizing, and deploying high-performance YOLO models tailored to your custom specifications.
With industrial experience fine-tuning YOLO architectures on real-world datasets at Larsen & Toubro Construction, I deliver robust pipelines built for accuracy and low latency.
Services Offered:
- Custom Object Detection & Tracking using YOLOv8 and PyTorch
- Dataset Cleaning, Augmentation & Annotation via Roboflow and OpenCV
- Model Fine-Tuning & Evaluation Reports (mAP, Precision, Recall curves)
- Real-Time Inference on Video Files, Webcams, and RTSP Streams
- Deployment Packaging via Docker containers and REST APIs
Tech Stack: Python, YOLOv8, PyTorch, OpenCV, Roboflow, CUDA, Docker
Why Choose This Gig?
- Hands-on industrial expertise with mission-critical detection models
- Clean, modular, and fully documented Python source code
- Delivery on time with clear setup instructions for your local machine or cloud
Please message me with your dataset details and project requirements before placing an order to ensure the best technical approach!
Expertise:
Image processing
•
Object detection
Programming language:
Python
•
Colab
Tools:
Jupyter Notebook
•
OpenCV
•
PyTorch
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
My Portfolio
FAQ
What do I need to provide before starting the project?
Provide a brief description of the objects you want to detect, the target environment (webcam, CCTV, video files), and your dataset (images or video footage). If you do not have an annotated dataset yet, select the Standard or Premium package so dataset cleaning and annotation can be handled for you
What if my dataset is small or not labeled yet?
In the Standard and Premium packages, raw images are cleaned, annotated with bounding boxes, and augmented using Roboflow and OpenCV to expand dataset diversity and boost model generalization.
How will I run and test the model on my computer?
Every package delivers clean, modular Python source code, trained .pt model weights, a requirements file, and clear setup documentation. You will receive a simple inference script so you can test detection on test images, videos, or your live webcam immediately.
Do I need an expensive GPU to run the model?
Training is handled on dedicated hardware (such as CUDA/PyTorch environments), but the exported model can run inference on standard CPUs, local GPUs, or cloud servers. If you have low-latency requirements, the model can also be optimized or containerized via Docker for lightweight deployment.
Can we discuss custom requirements before ordering?
Yes. Click the Contact Seller button to send your project scope, sample images, or custom edge cases before placing an order so the right tier and architecture can be confirmed.
