LE TAT DAT

Key Skills

Software

Appen

CVAT

Dataloop

Labelbox

Prodigy

SuperAnnotate

Tagtog

Top Subject Matter

Autonomous Vehicles

Medical Imaging

Retail & E-commerce

Top Data Types

Document

Image

Text

Top Label Types

Bounding Box

Classification

Segmentation

Text Generation

Text Summarization

Freelancer Overview

I am a detail-oriented and fast learner seeking freelance data labeling projects on OpenTrain. I am proficient in various labeling tasks and can adapt quickly to new data types and labeling tools. My specializations include: - Image Classification: (e.g. objects, scenes, actions). - Bounding Boxes: Creating accurate bounding boxes around objects of interest). - Semantic Segmentation: Segmenting images into different categories (e.g. pixel-level labeling). - Text Annotation: (e.g. sentiment analysis, named entity recognition).

Labeling Experience

An autonomous vehicle project at a startup developing self-driving car technology.

LabelboxImageBounding Box

Labeling Experience: - 6 months of experience labeling data for an autonomous vehicle project at a startup developing self-driving car technology. - Utilized expertise in bounding boxes to accurately annotate objects of interest in street scenes, including vehicles, pedestrians, cyclists, traffic signs, and lane markings. - Maintained a high level of accuracy (over 95%) by adhering to strict quality control guidelines. - Successfully met tight deadlines while contributing to the efficient labeling of a large dataset. - Proficient in using the Labelbox platform for data labeling tasks. This experience demonstrates my ability to: - Work effectively with complex data involving multiple object categories. - Understand and apply specific labeling guidelines for autonomous vehicle datasets. - Maintain a high degree of accuracy and attention to detail. - Adapt quickly to new labeling tools and workflows.

Labeling Experience: - 6 months of experience labeling data for an autonomous vehicle project at a startup developing self-driving car technology. - Utilized expertise in bounding boxes to accurately annotate objects of interest in street scenes, including vehicles, pedestrians, cyclists, traffic signs, and lane markings. - Maintained a high level of accuracy (over 95%) by adhering to strict quality control guidelines. - Successfully met tight deadlines while contributing to the efficient labeling of a large dataset. - Proficient in using the Labelbox platform for data labeling tasks. This experience demonstrates my ability to: - Work effectively with complex data involving multiple object categories. - Understand and apply specific labeling guidelines for autonomous vehicle datasets. - Maintain a high degree of accuracy and attention to detail. - Adapt quickly to new labeling tools and workflows.

2023 - 2023

Education

Work History