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KaggleComputer VisionAdvancedRegistration closed

Tgs Salt Identification Challenge

A advanced computer vision competition requiring roughly 30–80 hours for an end-to-end practice run.

Difficulty
Advanced
Estimated effort
30–80 hours
Registration deadline
Oct 12, 2018
Compute
High compute
OverviewPreparationSource

Overview

Who this competition fits

Advanced practitioners with experience in computer vision. Requires strong technical foundations and comfort with complex ML pipelines.

Read the original official blurb
Kaggle competition: Tgs Salt Identification Challenge.

Preparation

From registration to a first submission

  1. 01

    Python

  2. 02

    deep learning fundamentals

  3. 03

    computer vision (CNNs)

  4. 04

    image preprocessing

  5. 05

    GPU training workflow

Before you commit: Requires understanding of image processing and deep learning architectures. Significant GPU resources are needed for competitive solutions. The competitive landscape is strong, with many experienced teams.

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
Kaggle
Last checked
Jul 19, 2018

Entry assessment

est.
29

Prepare before joining

Overall fit estimate

Beginner fit29/100
Learning value66/100

Confirm eligibility and time commitment before moving into formal preparation.

18+ · Location rules

Open official pageSign in to saveOpen guide

Timeline

Registration opens
Jul 19, 2018
Registration deadline
Oct 12, 2018
Submission deadline
Oct 19, 2018
Competition ends
Oct 19, 2018

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

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Source page verifiedMetric confirmedReviewed
Source published
Jul 19, 2018
Source created
Jul 10, 2018
Published on this site
Mar 14, 2026

Official metric is not available in the fetched records and should be verified manually.