marcel
Lausanne / Geneva, CH
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Seerave Foundation
A benchmark for image-based food recognition
Latest submissions
Institute of Global Health
LifeCLEF
Classify images of snake species from around the world
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Max Planck Institute for Intelligent Systems
Disentanglement: from simulation to real-world
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MineRL Labs - Carnegie Mellon University
Sample-efficient reinforcement learning in Minecraft
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SBB
Multi Agent Reinforcement Learning on Trains.
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Unity Technologies
A new benchmark for Artificial Intelligence (AI) research in Reinforcement Learning
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Spotify
Predict if users will skip or listen to the music they're streamed
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May 16, 2020
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May 16, 2020
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May 16, 2020
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May 16, 2020
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marcel has not joined any teams yet...
Food Recognition Challenge
Co-founder of AIcrowd, Prof at EPFL
About the Food Recognition Challenge
Almost 2 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.