Skip to content

Rankings Industries Companies Research Blog

Sign in List your company

ResearchFormerly WizWand

Papers Benchmarks Datasets Tasks

Research
Benchmarks
Fire classification on Wildfire

Fire classification on Wildfire

93.36AccuracyDenseNet201

Updated 4mo ago

Evaluation results

Method	Links
DenseNet2012026.06		93.36	97.51

State-of-the-art paper

DenseNet201

HumP-KD: A Hybrid Uncertainty-Aware Multi-Stage Progressive Knowledge Distillation Framework for Efficient Fire Classification

Dataset

Wildfire

Follow for updates

Join SOTA2 Contact

Related benchmarks

Image Classification on FlameVision Fire classification on FlameVision Fire Classification on Fire, WildfireSmoke, Fire and Smoke and BoW Fire Datasets Fire Classification on Flame Fire classification on Private Dataset

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