Tushar Shinde

Key Skills

Software

Labelbox

SuperAnnotate

Top Subject Matter

Expert in Data Annotation for Machine Learning Projects, Focused on Image and Video Labeling

Proficient in Data Quality Assurance and Annotation Techniques for AI Applications

Experienced in Process Improvement and Training for Data Annotation Teams

Top Data Types

Image

Text

Video

Top Task Types

Audio Recording

Bounding Box

Freelancer Overview

As a dedicated Data Annotation Specialist, I bring extensive experience in accurately annotating and labeling large datasets for machine learning and data analysis projects. My proficiency in utilizing various annotation tools has enabled me to ensure precise categorization and classification according to project specifications. I excel in maintaining data quality through comprehensive quality assurance checks, adhering strictly to annotation guidelines. My collaborative approach allows me to work effectively with data scientists and project managers, aligning annotation tasks with project objectives to meet deadlines efficiently. With a strong focus on process improvement, I have successfully developed and implemented enhancements to annotation workflows, resulting in increased efficiency and accuracy. Additionally, I take pride in providing training and mentorship to new team members, fostering a culture of excellence in data quality standards. My skills extend to generative AI and prompt engineering, where I leverage my analytical capabilities to optimize data utilization. Committed to delivering high-quality results, I am eager to contribute my expertise in data annotation to innovative projects in the AI and machine learning space.

Labeling Experience

Data annotation

LabelboxImageBounding Box

In this project, I served as an Object Detection Specialist utilizing Labelbox for image labeling tasks focused on bounding box annotation. My primary responsibilities included: Human Face and Body Annotation: Accurately boxing human faces and bodies in various scenarios, contributing to the training of models aimed at enhancing facial recognition technologies. Traffic Light and Vehicle Detection: Annotated images to identify and box traffic lights and various vehicle types, ensuring the model could recognize these crucial elements in real-time driving scenarios. General Object Detection: Engaged in a range of object detection tasks, preparing high-quality training datasets that facilitate the development of robust computer vision applications.

In this project, I served as an Object Detection Specialist utilizing Labelbox for image labeling tasks focused on bounding box annotation. My primary responsibilities included: Human Face and Body Annotation: Accurately boxing human faces and bodies in various scenarios, contributing to the training of models aimed at enhancing facial recognition technologies. Traffic Light and Vehicle Detection: Annotated images to identify and box traffic lights and various vehicle types, ensuring the model could recognize these crucial elements in real-time driving scenarios. General Object Detection: Engaged in a range of object detection tasks, preparing high-quality training datasets that facilitate the development of robust computer vision applications.

2023 - 2024

Education

Work History