I will build yolov8 object detection and computer vision solution

Struggling with low model accuracy, false positives, or slow inference? I develop robust, production-ready computer vision and object detection solutions tailored to your unique requirements.

Instead of generic prototypes, I train, optimize, and deploy high-performance YOLO models engineered for real-world reliability.

Core Services & Capabilities:

• Custom Object Detection & Tracking: Training on custom datasets using YOLOv8, YOLOv5, and recent YOLO architectures with ByteTrack / DeepSORT integration.
• Instance Segmentation & Classification: Precise pixel-level boundaries, oriented bounding boxes (OBB), and pose estimation.
• Dataset Preparation & Annotation: Data labeling, format conversion, and augmentation via CVAT, Roboflow, and Label Studio.
• Model Optimization & Edge Deployment: Conversion to ONNX, TensorRT, and OpenVINO for fast real-time inference on edge devices, web backends (FastAPI), or mobile apps.

What You Will Receive:

• Clean, fully documented Python / OpenCV source code.
• Trained model weights (.pt, .onnx, or engine files) along with comprehensive validation metrics.
• Complete deployment guide or API wrapper for seamless integration.

Please contact me before placing order.