Loading
0 Follower
0 Following
u1234x1234
Dmitrii Tsybulevskii

Location

RU

Badges

2
2
0

Connect

Activity

Jun
Jul
Aug
Sep
Oct
Nov
Dec
Jan
Feb
Mar
Apr
May
Jun
Mon
Wed
Fri

Ratings Progression

Loading...

Challenge Categories

Loading...

Challenges Entered

A benchmark for image-based food recognition

Latest submissions

No submissions made in this challenge.

3D Seismic Image Interpretation by Machine Learning

Latest submissions

No submissions made in this challenge.

Play in a realistic insurance market, compete for profit!

Latest submissions

No submissions made in this challenge.

A benchmark for image-based food recognition

Latest submissions

No submissions made in this challenge.

Predicting smell of molecular compounds

Latest submissions

No submissions made in this challenge.

Latest submissions

No submissions made in this challenge.

Latest submissions

See All
graded 107480
failed 107478

Robots that learn to interact with the environment autonomously

Latest submissions

No submissions made in this challenge.

5 Puzzles, 3 Weeks | Can you solve them all?

Latest submissions

See All
graded 116256
graded 116254
graded 116253

Latest submissions

See All
graded 107590

Grouping/Sorting players into their respective teams

Latest submissions

See All
graded 84933
graded 84922
failed 84921
Participant Rating
Participant Rating
u1234x1234 has not joined any teams yet...

Hockey Puck Tracking Challenge

About Submission

Over 1 year ago

@jason_brumwell If the list of test images is known in advance and hand-labeling is allowed what prevents us from hand-labeling of test images and getting a perfect score (with model training on these labels)? It sounds like this approach is not prohibited by the rules, but it is not the solution you are looking for (as far as i can understand).

Data Labels & metric

Over 1 year ago

  1. Are there any labeled positions for a puck? As far as I understood there are no labels for the dataset.
  2. Can we hand-label the provided dataset?
  3. Is external data allowed?
  4. what is the evaluation metric? Mean squared error?

@jason_brumwell

Hockey Team Classification

Clarifications about datasets

Almost 2 years ago

Thank you for the challenge, I have a few questions:

  1. Is it ok to manually hand-label the examples from the provided dataset (with 2200 groups) if a trained model will generalize the data with unknown teams added (dataset with 22000 groups)?

  2. What does the score/secondary score columns on the leaderboard means? According to the description, “score” is a quality on the dataset with 2200 groups, “secondary score” is a quality on the dataset with 22,000 groups, but the rules state: “The results achieved must not deviate by more than 5% when run against datasets with different team images.”. Does it mean that must be gap no more than 5% between score/secondary score columns on the leaderboard?

u1234x1234 has not provided any information yet.