Indoor Navigation

Published: 21 July 2026| Version 1 | DOI: 10.17632/2j9rs3sgn3.1
Contributor:
Sri Anima Padmini Viriyala

Description

This dataset contains structured training, testing, and validation subsets designed for indoor object detection. It includes annotated images and their corresponding labels, providing a comprehensive resource for developing and evaluating computer vision models in indoor environments. The data is organized to facilitate seamless integration into machine learning workflows, enabling users to train, fine-tune, and validate models for accurate indoor object recognition.

Files

Steps to reproduce

This dataset consists of a custom-collected collection of images specifically curated for training and testing machine learning models in the fields of object detection and indoor path navigation. The imagery encompasses a wide variety of scenarios and environmental conditions to ensure robust performance for navigation tasks.

Institutions

Categories

Object Detection, Navigation

Licence