Lausanne / Geneva, CH
Activity
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
Jan
Feb
Mar
Apr
Mon
Wed
Fri
Ratings Progression
Loading...
Challenge Categories
Loading...
Challenges Entered
Completed
AIcrowd
Learn Prompting
Towards AI
Preamble
Trick Large Language Models
Latest submissions
Mosquito Alert Team
Small Object Detection and Classification
Latest submissions
Seerave Foundation
A benchmark for image-based food recognition
Latest submissions
5 Puzzles 21 Days. Can you solve it all?
Latest submissions
A benchmark for image-based food recognition
Latest submissions
LifeCLEF
Institute of Global Health
Classify images of snake species from around the world
Latest submissions
Max Planck Institute for Intelligent Systems
Disentanglement: from simulation to real-world
Latest submissions
MineRL Labs - Carnegie Mellon University
Sample-efficient reinforcement learning in Minecraft
Latest submissions
SBB
Multi Agent Reinforcement Learning on Trains.
Latest submissions
Unity Technologies
A new benchmark for Artificial Intelligence (AI) research in Reinforcement Learning
Latest submissions
Spotify
Predict if users will skip or listen to the music they're streamed
Latest submissions
| Participant | Rating |
|---|---|
shivam
|
136 |
AdnanZaidi
|
0 |
vrv
|
0 |
| Participant | Rating |
|---|---|
giba
|
0 |
marcel has not joined any teams yet...
Food Recognition Challenge
Co-founder of AIcrowd, Prof at EPFL
About the Food Recognition Challenge
Over 4 years agoHi @gloria_macia_munoz - some of the segmentations, as the one you identified, have been done by humans under time constraints. Those can certainly be improved. As we get better and better algorithms, more and more high quality data will become available for this challenge, in future rounds. It’s very important to note that this will be a long-term challenge / benchmark. This is just the first round, with the data that was provided. Over time, both the quantity and the quality will increase.