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ArtemVoronov
Artem Voronov

Location

Tashkent, UZ

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Challenges Entered

Generate Synchronised & Contextually Accurate Videos

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submitted 275533

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No submissions made in this challenge.

Understand semantic segmentation and monocular depth estimation from downward-facing drone images

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No submissions made in this challenge.

What data should you label to get the most value for your money?

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graded 179173
graded 179111
graded 179099

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No submissions made in this challenge.

Behavioral Representation Learning from Animal Poses.

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Airborne Object Tracking Challenge

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failed 153440
failed 153439
failed 153434

Machine Learning for detection of early onset of Alzheimers

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graded 137314
graded 137311
graded 137127

3D Seismic Image Interpretation by Machine Learning

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graded 156804
graded 117586
graded 109737

Play in a realistic insurance market, compete for profit!

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Predicting smell of molecular compounds

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graded 90998

5 PROBLEMS 3 WEEKS. CAN YOU SOLVE THEM ALL?

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graded 156804
graded 117586
graded 109737

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Perform semantic segmentation on aerial images from monocular downward-facing drone

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Participant Rating
roderick_perez 0
Hao_Hao_Shang_Ban_ 0
cadabullos 0
vrv 0
turk_boortechin 0
Participant Rating

Data Purchasing Challenge 2022

Has anyone actually got the prize payment?

Almost 2 years ago

Nope, still waiting…

IMPORTANT: Details about end of competition evaluations 🎯

Over 2 years ago

Hi! Survey now requires exact 4 options to be selected, what if I want to select only 1 or 2?

Pseudo-labeling

Almost 3 years ago

The question is whether we can use pseudo-labels for training in addition to purchased ones?

Pseudo-labeling

Almost 3 years ago

Is it allowed to use pseudo-labeling on Unlabeled dataset and train model on those labels during Purchase Phase ?

ADDI Alzheimers Detection Challenge

Validation Set

Over 3 years ago

Hi!
Can we use validation set to train models (as part of the train)?

Seismic Facies Identification Challenge

Hand labeling

About 4 years ago

Hi! Could you please clirify rules about hand labeling, is it allowed? Now media shown on the leaderbord shows submission error from 75 to 175 inline (from 0-370), this media coud be used to correct errors manualy and be submitted or even train models on manuly labeled images what can gives huge score improvement. Would you check top submissions?
TLDR: Is test part hand labeling forbidden and will be checked?

ArtemVoronov has not provided any information yet.

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