I offer services to construct object detection systems utilizing YOLO, OpenCV, segmentation techniques, MediaPipe, and Python

Service Description

Hello!

If you require real-time object detection for a project, expertise is available in creating intelligent vision systems utilizing YOLO (Ultralytics), CNNs, OpenCV, PyTorch, and TensorFlow.

For detecting entities such as individuals, vehicles, or specific items within videos or still images, a complete pipeline can be constructed, spanning from data annotation to final deployment.

Services Provided:

• Real-time detection using versions of YOLO (v3/v4/v5/v8)
• Training of customized models with Ultralytics
• Complete process management: annotation, training, evaluation, and deployment
• Detection capabilities for still images, video content, or live camera feeds
• Object tracking implementation using DeepSORT or ByteTrack
• Provision of clear results with bounding boxes and corresponding labels
• Model conversion into formats such as ONNX, TensorRT, or TFLite

Technologies and Instruments Used:

• Frameworks: PyTorch, TensorFlow, Keras, OpenCV
• Models: YOLO (Ultralytics), SSD, Faster R-CNN, MobileNet
• Annotation Tools: Roboflow, LabelImg, CVAT
• Development Environment: Python, Jupyter Notebook, Google Colab, Streamlit, FastAPI
• Libraries: NumPy, Pandas for data processing and visualization

Solutions are delivered that are clean, effective, and ready for production, designed for easy integration into existing projects.

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