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ImageNet is the big one on image recognition, is there other AI/ML/DL competitions that people have heard of ?
by Maven911 9y ago
ImageNet is the big one on image recognition, is there other AI/ML/DL competitions that people have heard of ?
- matt4077 9y agoKaggle, The Netflix Challenge, CASP
- jonbaer 9y agoThe Loebner (on the NLP side) this year should be interesting - http://www.aisb.org.uk/events/loebner-prize http://www.aisb.org.uk/events/loebner-prize - on the AI planning side usually the StarCraft competitions - https://sscaitournament.com https://sscaitournament.com - interested to see how DeepMind performs.
- bllguo 9y agoslightly different, but wanted to add numer.ai to the great list others have commented
- marcelsalathe 9y agoThe non-profit platform https://www.crowdAI.org https://www.crowdAI.org currently hosts a NIPS 2017 challenge as well as a genetic challenge, and constantly adds new challenges. Btw, it's completely open source, and keen on having contributors to help build the open challenge platform the community wants the most.
- deepnotderp 9y agoMS COCO, although i think that's part of the imagenet contest now.
- yonilevy 9y ago(Disclaimer: I work at Nexar) Nexar just released Nexet, a large dataset of 55K road images (5K of which are labeled). I think it's an interesting one as the images were captured by mobile phones (setup as dashcams), so you get "real world" data. Of-course there's an accompanying competition coming up: https://www.getnexar.com/challenge-2/ https://www.getnexar.com/challenge-2/
- colmvp 9y agoThere's WIDERFace(http://mmlab.ie.cuhk.edu.hk/projects/WIDERFace/index.html http://mmlab.ie.cuhk.edu.hk/projects/WIDERFace/index.html) which is specific to facial recognition.
- PeterisP 9y agoOn NLP side, many subfields tend to run annual shared task competitions, e.g. SemEval (http://alt.qcri.org/semeval2017/index.php?id=tasks http://alt.qcri.org/semeval2017/index.php?id=tasks) or TAC (https://tac.nist.gov/ https://tac.nist.gov/) for semantic analysis, WMT (http://www.statmt.org/wmt17/index.html http://www.statmt.org/wmt17/index.html) for machine translation, etc etc.