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AI-based Object Recognition (Self-study / Lab practice) — simple image classification and evaluation

China flagNanJing, China

Key Skills

Software

Other
Don't disclose

Top Subject Matter

Robotics perception / object recognition
Robotics control system simulation

Top Data Types

ImageImage

Top Task Types

ClassificationClassification

Freelancer Overview

AI-based Object Recognition (Self-study / Lab practice) — simple image classification and evaluation. Core strengths include Other and Don't disclose. Education includes Bachelor of Engineering, Southeast University (SEU) (2029). AI-training focus includes data types such as Image, Computer Code, and Programming and labeling workflows including Classification, Computer Programming, and Coding.

Labeling Experience

Robot Control System Simulation (Course Project) — control logic implementation in Python/MATLAB

Don't disclose

Implemented robotic motion control logic using Python and MATLAB as part of a course project. While not an explicit data-labeling role, the simulation work supported AI/control learning by translating system understanding into executable control code. The project emphasized PID control principles and stability analysis to refine the simulated controller behavior. • Developed control logic in MATLAB/Python for robot simulation • Applied PID control principles in a simulated environment • Performed system stability analysis concepts • Iterated code/simulation to improve control performance

2024

AI-based Object Recognition (Self-study / Lab practice) — simple image classification and evaluation

OtherImageImageClassificationClassification

Built a simple Python-based image classification model to support basic object recognition tasks. The work involved preparing and preprocessing image datasets, then evaluating model performance for improved results. This project focused on applying fundamental neural network concepts to learn from labeled examples. • Dataset preprocessing and cleaning for image inputs • Training an image classification model using Python • Evaluating model metrics and iterating for better performance • Applying basic neural network concepts for object recognition

2024

Education

S

Southeast University (SEU)

Bachelor of Engineering, Robotics Engineering

Bachelor of Engineering
2026 - 2029

Work History

C

Company not specified

自主开发www.markflow.chat

Location not specified
Not specified