Skip to content

Rankings Industries Companies Research Blog

Sign in List your company

ResearchFormerly WizWand

Papers Benchmarks Datasets Tasks

Research
Benchmarks
Classification on INT-20

Classification on INT-20

29.5AccuracyMatek et al.

Updated 8mo ago

Evaluation results

Method	Links
Matek et al.2022.07		29.5

State-of-the-art paper

Matek et al.

Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification

Dataset

INT

Follow for updates

Join SOTA2 Contact

Related benchmarks

Single white blood cell classification on Matek 2019 (test)Single White Blood Cell Classification on INT-20 2020 (test)Single white blood cell classification on Acevedo 2020 (test)Classification on Matek-19 Classification on Acevedo 20

Building an AI company?

Claim your profile, keep your facts current and see how buyers find you. Rankings are never paid for.

How rankings work List your company

Find AI companies and products for your business problem. Compare solutions and evidence by industry and task.

Explore

Rankings
Industries
Categories
Companies
Top AI companies

Read

Blog
Research
llms.txt

For AI companies

List your company
Claim a profile
Ranking badges

SOTA2 with AI

Claude connector
ChatGPT plugin
Tool reference
Connector privacy
Connector terms

SOTA2

Why SOTA2
How we rank
Contact

© 2026 SOTA2Built in Bellevue, USA