The Use Of Bounding Boxes in Image Annotation for Object Detection

Posted by Anolytics – AI Services on June 24th, 2019

Bounding boxes is one of the most popular and recognizable image annotation method used in machine learning and deep learning. Using bounding boxes annotators are asked to outline the object in a box as per the machine learning project requirements. And it is one of the cheapest and low time taking annotation methods in the industry.

Actually, it is very useful in object classification in images and localize them for computer vision. However, in few cases it is also used semantic-segmentation with advantage of training models like autonomous vehicle driving, retail clothing, furniture detection and satellite imagery. So, today we will discusses about the different types of uses of bounding boxes image annotation for object detection and classification into various fields.

BOUNDING BOXES IMAGE ANNOTATIONS USE CASES

Object Localization for Autonomous Vehicle Driving

The bounding boxes are widely used in training the self-driving car perception model to recognize the various types of objects comes on the roads like traffic signals, lane obstacles and pedestrians etc. All the visible objects can be easily annotated with bounding boxes to make it recognizable for machines to understand the surroundings and move the vehicle safely while avoiding any crashes even when moving into the busy streets.

Object Detection for Ecommerce or Online Retail

The products sold online are also used to annotate with bounding boxes annotation and recognize the clothings or other accessories brought by the customers. All kind of fashion accessories can be easily annotated with this technique helping visual search machine learning models to recognize such things and provide the other details to end-users.

Vehicle Damage Detection for Insurance Claims

Cars and other types of vehicles damaged due to accident can be now also detected with the help of bounding box annotated images. Trained with bounding boxes the machine learning models can learn the intensity and point of damages to estimate the cost of claims that a customer can get an approximate idea before claiming the insurance.

Indoor Objects Detection with Bounding Boxes

The use of bounding boxesis also very much high in detecting the indoor objects like furniture, tables, chairs, cupboards and electronic systems. For machines it helps to get an idea of a room and what kind of objects are placed there with their position and dimension making easier for ML model to detect such things easily in real-life scenario. Images annotated with bounding boxes deep learning technique helps to understand objects better.

Object Detection with Robotics and Drone Imagery

Image annotation with bounding boxes is also widely used to label the objects from robots and drones point view. Images annotated with this technique the autonomous machines like robots and drone can identify the variety of objects on the earth. The varied range of objects can be captured into the bound box making easier for robots and drones to detect the similar physical objects from the distance and behave accordingly.

Anolytics is providing the high-quality image annotation service for all types of industries using annotated image data for machine learning and AI. Apart from bounding boxes, it is providing all types of other image annotation service with best level of accuracy allowing the machine learning engineers to use the annotated data and develop a fully functional AI model.

Ref. link:- 

https://medium.com/@anolytics/the-use-of-bounding-boxes-in-image-annotation-for-object-detection-6371711eabba?postPublishedType=initial