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Nihal Chapekar

Nihal Chapekar

Video Annotator: Scale AI, V7 platform (Bounding boxes, Polygon segmentation, and keypoint tracking)

India flagNagpur, India
IntermediateScale AIV7 Labs

Key Skills

Software

Scale AIScale AI
V7 LabsV7 Labs

Top Subject Matter

Multi-domain: Video
Audio Domain Expertise
Content Rating

Top Data Types

VideoVideo
ImageImage

Top Task Types

Bounding BoxBounding Box

Freelancer Overview

Video Annotator: Scale AI, V7 platform (Bounding boxes, Polygon segmentation, and keypoint tracking). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI and V7 Labs. Education includes Bachelor of Engineering, St. Vincent Pallotti College of Engineering and Technology. AI-training focus includes data types such as Video and labeling workflows including Bounding Box.

Intermediate

Labeling Experience

Scale AI

Video Annotator: Scale AI, V7 platform (Bounding boxes, Polygon segmentation, and keypoint tracking)

Scale AIVideoBounding Box
As a Video Annotator for Scale AI and V7 Labs, I performed data labeling tasks including bounding boxes, polygon segmentation, and keypoint tracking frame by frame. I annotated both video and audio data, such as content rating and audio transcription, to enhance training datasets for AI models. My experience involved using specialized annotation platforms with a strong focus on detail and accuracy. • Annotated video data frame by frame using bounding boxes and polygons. • Labeled audio data including audio transcription and content rating. • Used Scale AI and V7 Labs platforms for high-volume annotation tasks. • Contributed to the creation of high-quality datasets to train and validate AI models.

As a Video Annotator for Scale AI and V7 Labs, I performed data labeling tasks including bounding boxes, polygon segmentation, and keypoint tracking frame by frame. I annotated both video and audio data, such as content rating and audio transcription, to enhance training datasets for AI models. My experience involved using specialized annotation platforms with a strong focus on detail and accuracy. • Annotated video data frame by frame using bounding boxes and polygons. • Labeled audio data including audio transcription and content rating. • Used Scale AI and V7 Labs platforms for high-volume annotation tasks. • Contributed to the creation of high-quality datasets to train and validate AI models.

2025 - 2026

Education

S

St. Vincent Pallotti College of Engineering and Technology

Bachelor of Engineering, Electrical Engineering

Bachelor of Engineering
Not specified

Work History

V

Vigo Technoworld Pvt. Ltd

Data Analyst Intern

Nagpur
2025 - 2025