Crowdsourcing AI to solve real-world problems
AIcrowd enables data science experts and enthusiasts to collaboratively solve real-world problems, through challenges.
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Featured challenges
Completed
NeurIPS 2019 : MineRL Competition
Sample-efficient reinforcement learning in Minecraft
10 Travel Grants
Misc Prizes :
1x Titan RTX GPU
53.4k
1017
662
Flatland Challenge
Multi Agent Reinforcement Learning on Trains.
30'000 Prize Money
5 Travel Grants
Misc Prizes :
To Be Announced
43.7k
583
1082
Food Recognition Challenge
A benchmark for image-based food recognition
1 Travel Grants
1 Authorship/Co-Authorship
Misc Prizes :
Various Prizes
11.6k
337
468
NeurIPS 2019: Learn to Move - Walk Around
Reinforcement Learning on Musculoskeletal Models
3 Travel Grants
2 Authorship/Co-Authorship
25.5k
316
1314
NeurIPS 2019 : Disentanglement Challenge
Disentanglement: from simulation to real-world
20,000 EUR Prize Money
Misc Prizes :
Brilliancy Prizes
23.8k
207
1530
1 Travel Grants
1 Authorship/Co-Authorship
1133
0
0
"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.
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