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The project focuses on analyzing the training of object detection models using various types of datasets, including real data, augmented data, synthetic data, and hybrid data.

License: MIT License

Python 95.35% Jupyter Notebook 4.65%
blender image-processing opencv python pytorch synthetic-data yolov8

object_detection_synthetic_data's Introduction

πŸ™‹β€β™‚οΈ About me ...

A strong enthusiast for robotics, machine learning, and machine vision. Interested in basically everything related to robotics and automation.

A detailed-focused researcher with hands-on experience in the field of general robotics, such as motion planning, kinematics, machine learning, and machine vision. Ability to effectively solve complex engineering problems and adapt to change. Accustomed to working under pressure for extended periods of time and meeting tight deadlines.

Very good presentation skills acquired through presentations at various conferences and university courses. Ability to lead and motivate people based on experience leading a team of n-member Bachelor / Master students.

Some of my quotes. Please, think about it... πŸ’‘

  1. If you want to improve something, you must first understand it. The combination of theoretical and practical knowledge is not an option, it is a must.
  2. Active participation within the open-source community, not only as a user but also as a contributor, is essential to ensuring continued growth.

πŸ“ Programming Languages:

Python, C/C++, C#, ANSI C/C++, IEC 61131-3, MATLAB

πŸ‘¨β€πŸ’» Tools & Technologies:

ROS (Robot Operating System), MoveIt, Gazebo, PyBullet, Unity3D, Blender, OpenAI Gym, TensorFlow, PyTorch, YOLO, OpenCV

πŸš€ Personal Interests:

Science, Robotics, Machine Learning, Mathematics, Ecology, Healthy Lifestyle

βœ‰οΈ Contact:

Python Python

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