Image Segmentation - Labellerr

Image Segmentation

A collection of 12 posts

SAM Fine-Tuning Using LoRA

SAM Fine-Tuning Using LoRA

Learn how to fine‑tune SAM with LoRA to achieve precise, domain‑specific segmentation without massive GPU costs. Freeze the SAM backbone, train only tiny low‑rank adapters, and deploy high‑accuracy models on modest hardware—fast, modular, and efficient.

Learn SAM 2 in Minutes

Image Segmentation

Learn SAM 2 in Minutes: The Ultimate Starter Guide for 2025

Learn to implement Meta's SAM2 for pixel-perfect image/video segmentation. Explore its zero-shot capabilities, real-time processing, and step-by-step code examples for bounding box & point-based object masking.

Mask2Former: Hands-on Tutorial Guide

Learn how to perform semantic, instance, and panoptic segmentation using Mask2Former-a universal, efficient, and accurate model that streamlines image segmentation tasks across diverse applications.

computer vision

How To Perform Vision Tasks Using Florence 2

Discover the way to perform various tasks Florence 2 can handle, from object detection to OCR using just prompts. Learn how this unified vision model simplifies complex workflows without sacrificing accuracy.

Fine-tune SAM on custom dataset

How to Fine-Tune the SAM Model with Your Own Dataset

Fine-tuning Segment Anything (SAM) improves its accuracy for specific domains like medical imaging, agriculture, and surveillance. While SAM performs well out of the box, customizing it helps capture finer details.

7 Best Image Segmentation Service Providers In 2025

Image Segmentation

7 Best Image Segmentation Service Providers In 2025

In 2025, top image segmentation service providers include Labellerr, iMerit, Amazon Mechanical Turk, Hive, Clickworker, Appen, and CloudFactory. These platforms offer expert segmentation using both manual and AI-assisted techniques for precision and scalability.

Evaluating OpenSeed on Various Datasets

Open-set-object detection

Evaluating OpenSeed on Various Datasets

In the previous article, we explored how OpenSeeD works, its architecture, and the challenges it solved. Now that we’ve covered the fundamentals, it's time to delve into something just as crucial, "the performance of OpenSeeD" on various datasets. How well does this model perform when

OpenSeeD Framework Explained!

Open-set-object detection

OpenSeeD Framework Explained!

Are you struggling with balancing segmentation and detection tasks in your computer vision projects? Does your model often misclassify background elements or struggle to detect smaller objects in complex scenes? If so, you're not alone. Many practitioners in the field of computer vision face significant challenges when trying

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

7 Best Image Segmentation Tools in 2024

Image Segmentation

7 Best Image Segmentation Tools

Explore the 7 best image segmentation tools in 2024, offering powerful features like semantic segmentation, object detection, and AI-assisted annotation. Platforms like Labellerr, Labelbox, and CVAT simplify the process with intuitive interfaces, enhancing computer vision projects.

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