Waste Segmentation - Labellerr

Waste Segmentation

A collection of 4 posts

PROB Model for Open-World Object Detection Guide

PROB Model For Open World Object Detection: A Step-By-Step Guide

In our previous article, we discussed the revolutionary potential of open-world object detection and the challenges associated with identifying and categorizing unknown classes using the PROB model. In this follow-up, we shift our focus to the PROB model, a cutting-edge solution designed to tackle these challenges across various domains, including

PROB Model for Waste and Garbage Object Detection

Image Segmentation

PROB Model For Waste and Garbage Object Detection

According to the World Bank's "What a Waste 2.0" report, updated in 2022, global waste generation is expected to reach 3.4 billion tons by 2050. The report estimates that about 2.01 billion tons of municipal solid waste are produced annually worldwide. A study

Navigating Waste Sorting and Segregation: Labellerr's Transformative Role

Super Charge Waste Segmentation Annotation With Labellerr To Reduce Cost

Table of Contents 1. Introduction 2. Challenge 3. Solution: Labellerr's Role 4. Conclusion 5. Frequently Asked Questions Introduction In the world of energy, dealing with the problems of waste is really important. When nuclear facilities are shut down, the waste they leave behind is dangerous. Figuring out how

Labellerr and Spare-It collaboration on waste segmentation for sustainability

How Spare-It Uses Labellerr to Revolutionize Waste Segmentation - A Case Study

Table of Contents 1. Introduction 2. Our Customer 3. Data Volume and Accuracy Challenge 4. How Labellerr Stepped In 5. Results and Impact 6. Conclusion 7. Frequently Asked Questions Introduction Sustainability is a big deal worldwide, and companies like Spare-It are leading the way by using technologies like AI/ML