Venkata B.

Key Skills

Software

CVAT

Top Subject Matter

Computer Vision & AI

Security & Surveillance

Retail & Consumer Analytics

Top Data Types

Image

Video

Top Task Types

Object Detection

Bounding Box

Data Collection

Evaluation/Rating

Freelancer Overview

I have hands-on experience working on an AI-powered CCTV surveillance project where I contributed to the preparation and management of training data for computer vision models. My work involved collecting and organizing image and video datasets, reviewing CCTV footage, identifying relevant objects and events, and ensuring data quality for model training. Through this project, I gained practical knowledge of image annotation, data validation, dataset preparation, and maintaining consistency across labeled data to improve model performance. In addition to data preparation, I worked closely with the model development process by analyzing detection results, identifying labeling errors, and refining datasets to improve accuracy. This experience strengthened my attention to detail, pattern recognition, quality assurance, and understanding of machine learning workflows. My combination of technical knowledge in AI, computer vision, and data quality management enables me to contribute effectively to AI training data and data labeling projects while maintaining high accuracy and consistency standards.

Labeling Experience

CCTV AI Data Labeling & Object Detection Project

VideoObject Detection

Worked on a CCTV-based AI surveillance project focused on training object detection models using video data. The project involved reviewing CCTV footage, identifying and annotating objects such as people, vehicles, motorcycles, and other relevant entities across different environmental conditions including daytime, nighttime, crowded scenes, and varying camera angles. Responsibilities included frame selection, object bounding box annotation, dataset organization, quality assurance, and validation of labeled data to ensure consistency and accuracy. Collaborated with the model training workflow by analyzing detection outputs, identifying annotation issues, and refining datasets to improve model performance. This project strengthened my expertise in video annotation, object detection, data quality management, attention to detail, and computer vision data preparation for AI and machine learning applications.

2026 - 2026

Education

Work History