Nayan Haldar

Key Skills

Software

LabelImg

Roboflow

CVAT

Top Subject Matter

Image Segmentation

Top Data Types

Image

Video

Top Task Types

Bounding Box

Polygon

Tracking

Freelancer Overview

Image Segmentation Project. Core strengths include Roboflow. AI-training focus includes data types such as Image and labeling workflows including Polygon.

Labeling Experience

Video Annotation for Object Tracking

CVATVideoTracking

I performed video annotation tasks by labeling moving objects frame by frame. This work resulted in the creation of training datasets for object tracking models. Each object instance was labeled accurately throughout its trajectory. • Used CVAT for comprehensive video annotation. • Tracked multiple object classes over time. • Maintained frame-by-frame consistency in labels. • Prepared videos for use in tracking model development.

I performed video annotation tasks by labeling moving objects frame by frame. This work resulted in the creation of training datasets for object tracking models. Each object instance was labeled accurately throughout its trajectory. • Used CVAT for comprehensive video annotation. • Tracked multiple object classes over time. • Maintained frame-by-frame consistency in labels. • Prepared videos for use in tracking model development.

Not specified

PPE Detection Dataset Annotation Practice

RoboflowImageBounding BoxPolygon

I annotated images of workers engaged in safety-related activities using specialized tools. My work involved creating accurate bounding boxes to identify helmets, vests, and the presence of persons in various images. This labeling practice was performed to support AI models in personal protective equipment (PPE) detection tasks. • Used LabelImg and MakeSense.ai for hands-on dataset annotation practice. • Focused on precise bounding box placement for safety gear and workers. • Practiced standard workflow for preparing computer vision datasets. • Developed foundational skills for professional data labeling roles.

I annotated images of workers engaged in safety-related activities using specialized tools. My work involved creating accurate bounding boxes to identify helmets, vests, and the presence of persons in various images. This labeling practice was performed to support AI models in personal protective equipment (PPE) detection tasks. • Used LabelImg and MakeSense.ai for hands-on dataset annotation practice. • Focused on precise bounding box placement for safety gear and workers. • Practiced standard workflow for preparing computer vision datasets. • Developed foundational skills for professional data labeling roles.

Not specified

Education

Work History