Browse categories
Explore
Fiverr Pro
English
$
USD
I will build a custom yolo object detection model with opencv
ML, Deep Learning Engineer, Computer Vision, NLP, Transformers, Gen AI
You don’t want a nice slide deck. You want a working AI that reduces cost, saves hours, or moves revenue fast.
I’m Syed Hussain (ML engineer and founder of Dyosai). I build production-grade AI agents...
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
About this Gig
I build production-ready object detection, image segmentation, and real-time tracking systems using YOLOv5, YOLOv8, YOLOv9, OpenCV, and PyTorch systems that work in the real world, not just on benchmark datasets.
If you need a model that accurately detects objects in images or video, counts people, identifies defects in products, or tracks movement in real time, you are in the right place.
WHAT I BUILD
- Custom object detection using YOLOv5, YOLOv8, YOLOv9,
Faster R-CNN
- Real-time multi-object tracking using DeepSORT and SORT
- Image segmentation using Mask R-CNN, SAM, and DeepLab
- Defect detection and quality control pipelines for
manufacturing
- People counting, crowd analysis, and footfall systems
- License plate detection and recognition
- Custom dataset annotation pipelines and training workflows
- Model export to ONNX, TorchScript, and Docker for deployment
- Edge deployment on Raspberry Pi, Jetson Nano, and mobile
devices
WHAT YOU RECEIVE
Every delivery includes clean and documented Python source code, Jupyter notebooks with test results and accuracy metrics, trained model weights with an inference script ready to run, and a video of the model outputs.
My Portfolio
FAQ
What do you need to start?
Dataset of images (or a sample video), labels (if you have), and a clear success goal (e.g., detect X with 0.8 IoU).
What frameworks do you use?
PyTorch / OpenCV / YOLO / ONNX / TorchScript. I can adapt if you request another stack.
