Almaty, KZ
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AIcrowd
IGLU Team
Interactive embodied agents for Human-AI collaboration
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Amazon Search
ADDI
Machine Learning for detection of early onset of Alzheimers
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SEAM AI
3D Seismic Image Interpretation by Machine Learning
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Sony Group Corporation
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MABe Team
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See All| graded | 132919 | ||
| graded | 132865 | ||
| graded | 132743 |
5 Puzzles, 3 Weeks. Can you solve them all? 😉
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See All| graded | 139929 | ||
| graded | 139925 | ||
| graded | 139921 |
Firmenich
Detect Multi-Animal Behaviors from a large, hand-labeled dataset.
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See All| graded | 132919 | ||
| graded | 132865 | ||
| graded | 132743 |
Language assisted Human - AI Collaboration
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| Participant | Rating |
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smiles1289 Learning to SmellView
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alatau Multi-Agent Behavior: Representation, Modeling, Measurement, and ApplicationsView
Multi-Agent Behavior: Representation, Model-17508f
isa_k_dsmlkz has not provided any information yet.
Claim your AWS Credits | Report your improvement in baseline score
Almost 4 years agoTeam name: alatau (user: dna1289)
Submission id: ‘submission_id’: 127311
How much did you improve over the relevant baseline score?: Classification F1= 0.806
A brief intro about you: A Data Science Enthusiast currently learning Computer Vision. The competition problem and the data appears to be unique and interesting. The baseline code provided by organizers gives a good and smooth introduction to the problem. The restriction on usage of external data makes the problem manageable within available technical resources (e.g. google colab).