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KaggleComputer VisionIntermediateRegistration closed

Severstal: Steel Defect Detection

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

Difficulty
Intermediate
Estimated effort
30–80 hours
Registration deadline
Oct 17, 2019
Compute
High compute
OverviewPreparationSource

Overview

Who this competition fits

Intermediate learners who want to deepen their skills in computer vision. Good for building practical experience with real-world data.

Read the original official blurb
Can you detect and classify defects in steel?

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.

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 25, 2019

Entry assessment

est.
30

Prepare before joining

Overall fit estimate

Beginner fit30/100
Learning value70/100

Confirm eligibility and time commitment before moving into formal preparation.

18+ · Location rules

Open official pageSign in to saveOpen guide

Timeline

Registration opens
Jul 25, 2019
Registration deadline
Oct 17, 2019
Submission deadline
Oct 24, 2019
Competition ends
Oct 24, 2019

Data and review state

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

View data stateClose
Source page verifiedMetric confirmedReviewed
Source published
Jul 25, 2019
Source created
Apr 19, 2019
Published on this site
Mar 14, 2026