Category Topics
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Snake Species Identification Challenge

Welcome to the AIcrowd Snake Species Identification Challenge.
please feel free to ask your questions about the dataset, evaluation metrics, etc here.
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Flatland Challenge

This topic is now read-only, please post any new questions in latest topic present here. https://discourse.aicrowd.com/c/neurips-2020-flatland-challenge
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Food Recognition Challenge

A discussion forum for the Food Recognition Challenge on AIcrowd.
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FOODC

Maintaining a healthy diet is difficult. As the saying goes, the best way to escape a problem is to solve it. So why not leverage the power of deep learning and computer vision to build the foundation of a semi-automated food tracking application?
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DIBRD

Diabetic Retinopathy is the leading cause of blindness in the working-age population of the developed world. Deep Learning has given us tremendous power in the field of computer vision. In some fields of vision ,computers can now see and perceive beyond human capabilities. But with great power comes responsibility. The problem we have for you is to classify the patient’s retina as being diabetic or not diabetic taking into consideration the available image features in the dataset. To know more about diabetic retinopathy click here.
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MINILEAVES

Can you detect plant diseases just by examining the images of the plant’s leaves? Sounds Tough…… Can you do the same task if the images are at a really low resolution? …Welcome to your new challenge!
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ORIENTME

Solving a rubik’s cube is now too mainstream they say. But what if you have 100,000 pictures of the rubicks cube and you are asked to stitch it all together? This is not a problem we need, this is a problem we deserve!
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PKHND

Lousy at poker faces? To all the wannabe players who failed at poker, we bring you redemption! Just let your model play your hand and you will master an old foe. We will put 5 cards on your table. Predict the Hand it makes !!
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Frequently Asked Questions

This category contains FAQs (and tutorials) which will be helpful to users for submitting to AIcrowd and interacting with website.
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Novartis DSAI Challenge

Test Post. Please Ignore. Test Post. Please Ignore.
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AMLD 2020 - Transfer Learning for International...

AMLD 2020 - Transfer Learning for International Crisis Response
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NeurIPS 2019: Learn to Move - Walk Around

This forum is to ask and discuss topics related to the “Learn to Move: Walk Around” challenge, one of the official competitions of NeurIPS 2019.
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NeurIPS 2019 - Robot open-Ended Autonomous Lear...

Welcome to the NeurIPS 2019 - Robot open-Ended Autonomous Learning!
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NeurIPS 2019 : Disentanglement Challenge

Welcome to the NeurIPS 2019 : Disentanglement Challenge Discussion Forums
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Unity Obstacle Tower Challenge

Welcome to the Unity Obstacle Tower Challenge! Use this category to tag your posts, questions, discussions, findings and concerns for the challenge.
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Novartis Pharma Data Science Hackathon

A discussion forum for the Novartis Hackathon Participants.
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Site Feedback

Discussion about this site, its organization, how it works, and how we can improve it.
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MEDIQA 2019 - Question Answering (QA)

The objective of this task is to filter and improve the ranking of automatically retrieved answers. The input ranks are generated by the medical QA system CHiQA.
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MEDIQA 2019 - Natural Language Inference (NLI)

The objective of this task is to identify three inference relations between two sentences: Entailment, Neutral and Contradiction.
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MEDIQA 2019 - Recognizing Question Entailment(RQE)

The objective of this task is to identify entailment between two questions in the context of QA.
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Research Problems, Datasets, Miscellaneous

A place to post details about interesting research problems you are working on, or new datasets that you are gathering. A place to reach out to a community of Machine Learning experts and enthusiasts who might help you with your problems and datasets.
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Reinforcement Learning

A familiar place for all Reinforcement Learning enthusiasts to hang out, share stuff, discuss whatever they love.
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Mask Detection Challenge

Interested in detecting masks in the wild? Train object detection models
capable of identifying the location of masked faces in an image as well
as the location of unmasked faces in the image.
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