Yash Raj

Key Skills

Software

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Bounding Box

Segmentation

Object Detection

Freelancer Overview

I am passionate about building high-quality AI solutions, with hands-on experience in computer vision, data analysis, and machine learning pipelines. My background includes developing real-time human and object detection systems using Python, YOLOv5, and OpenCV, where I optimized model performance and ensured precise recognition across diverse categories. I have worked extensively with data preprocessing, feature extraction, and image annotation techniques, as well as validating data accuracy through manual and API-level testing. My experience also covers automating and streamlining data workflows using CI/CD, Docker, and Kubernetes, ensuring data consistency and reliability for AI model training and deployment. I am skilled in Python, data visualization, and leveraging tools like Dash to analyze and present complex data, making me well-equipped for roles focused on data labeling and AI training data management.

Labeling Experience

Autonomous Vehicle Image Annotation Project

CVATImageBounding BoxSegmentation

Worked on a large-scale autonomous vehicle dataset containing over 50,000 images captured from multiple camera angles. Responsibilities included annotating vehicles, pedestrians, traffic signs, and road lanes using bounding boxes and segmentation masks. Ensured high-quality labeling by following strict annotation guidelines, performing cross-validation checks, and correcting inconsistencies. Collaborated with a team of 10 annotators to meet project deadlines and maintain >98% labeling accuracy.

Worked on a large-scale autonomous vehicle dataset containing over 50,000 images captured from multiple camera angles. Responsibilities included annotating vehicles, pedestrians, traffic signs, and road lanes using bounding boxes and segmentation masks. Ensured high-quality labeling by following strict annotation guidelines, performing cross-validation checks, and correcting inconsistencies. Collaborated with a team of 10 annotators to meet project deadlines and maintain >98% labeling accuracy.

2025 - 2025

Education

Work History