Crowdsourcing AI to solve real-world problems
AIcrowd enables data science experts and enthusiasts to collaboratively solve real-world problems, through challenges.
Organize a challenge
Featured challenges
Completed
NeurIPS 2019 : MineRL Competition
Sample-efficient reinforcement learning in Minecraft
10 Travel Grants
Misc Prizes :
1x Titan RTX GPU
52.2k
1009
662
Flatland Challenge
Multi Agent Reinforcement Learning on Trains.
30'000 Prize Money
5 Travel Grants
0 Authorship/Co-Authorship
Misc Prizes :
To Be Announced
42.1k
570
1082
Food Recognition Challenge
A benchmark for image-based food recognition
1 Travel Grants
1 Authorship/Co-Authorship
Misc Prizes :
Various Prizes
9464
295
392
NeurIPS 2019: Learn to Move - Walk Around
Reinforcement Learning on Musculoskeletal Models
3 Travel Grants
2 Authorship/Co-Authorship
24.7k
311
1314
NeurIPS 2019 : Disentanglement Challenge
Disentanglement: from simulation to real-world
20,000 EUR Prize Money
0 Travel Grants
Misc Prizes :
Brilliancy Prizes
23k
205
1530
"Crowdsourcing far exceeded our expectations - you not only get new solutions, but also a deeper insight to the problem you are trying to solve."
Thanks to the agile structure of the platform, it was easy to design an ML challenge outside of the standard framework of the training/test data challenges. For new challenges, I would choose AIcrowd over other platforms.
LATEST USERS
Thank you