Kanhaiya Kumar Singh

Key Skills

Software

CrowdFlower

CVAT

Labelbox

Playment

Remotasks

Toloka

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Image

Video

Computer Code Programming

Top Label Types

Bounding Box

Classification

Computer Programming Coding

Prompt Response Writing SFT

Segmentation

Data Collection

Point Key Point

Cuboid

Polyline

Polygon

Object Detection

Transcription

Evaluation Rating

Text Summarization

Text Generation

Question Answering

Entity Ner Classification

Freelancer Overview

As a skilled professional in AI and IT, I have experience with data labeling and AI training data, specializing in tools like CVAT and PLAYMENT, I have contributed to image annotation projects for object detection,3D Lidar video segmentation, computer coding programing and image classification. Using CVAT and other tools. I efficiently managed large-scale datasets to annotate and preprocess data for machine learning models. Additionally, my work on Playment and remotasks involved streamlining AI-driven training workflows and ensuring accurate labeling for model optimization. My ability to work with cutting-edge tools and tackle complex data challenges has allowed me to successfully contribute to the development of high-performance AI models." I used industry-standard tools like CVAT and PLAYMENT, and maintained a high annotation accuracy of 99%, as validated by QA teams. Alongside annotation, I processing efficiency, and convert annotation outputs into XML and JSON formats as per client specifications. This large -scale Ai projects involved thousands of frames and required strict adherence to annotation guidelines, version control, and collaborative coordination with a remote team.

Labeling Experience

3D Sensor Data Annotation and computer coding

Playment3D SensorBounding BoxClassification

Over a span of 2 years, I worked on advanced data annotation projects involving 3D Lidar and video datasets, primarily focused on autonomous vehicle systems. My tasks included detailed labeling of point cloud data and video frames using bounding boxes and cuboids to identify key elements such as vehicles, pedestrians, road infrastructure, and lane markings. I used industry-standard tools like CVAT and PLAYMENT, and maintained a high annotation accuracy of 99%, as validated by QA teams. Alongside annotation, I processing efficiency, and convert annotation outputs into XML and JSON formats as per client specifications. This large -scale Ai projects involved thousands of frames and required strict adherence to annotation guidelines, version control, and collaborative coordination with a remote team.

Over a span of 2 years, I worked on advanced data annotation projects involving 3D Lidar and video datasets, primarily focused on autonomous vehicle systems. My tasks included detailed labeling of point cloud data and video frames using bounding boxes and cuboids to identify key elements such as vehicles, pedestrians, road infrastructure, and lane markings. I used industry-standard tools like CVAT and PLAYMENT, and maintained a high annotation accuracy of 99%, as validated by QA teams. Alongside annotation, I processing efficiency, and convert annotation outputs into XML and JSON formats as per client specifications. This large -scale Ai projects involved thousands of frames and required strict adherence to annotation guidelines, version control, and collaborative coordination with a remote team.

2019 - 2021

Education

Work History