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KaggleComputer VisionAdvancedRegistration closed

Data Science Bowl 2017

A advanced computer vision competition requiring roughly 40–100 hours for an end-to-end practice run.

Difficulty
Advanced
Estimated effort
40–100 hours
Registration deadline
Mar 31, 2017
Compute
High compute
OverviewPreparationSource

Overview

Who this competition fits

Experienced ML practitioners with strong computer vision skills who want to work on medical imaging. Good for those interested in healthcare AI applications.

Read the original official blurb
Can you improve lung cancer detection?

Preparation

From registration to a first submission

  1. 01

    Python

  2. 02

    deep learning fundamentals

  3. 03

    computer vision (CNNs)

  4. 04

    3D image processing

  5. 05

    GPU training workflow

Before you commit: Requires 3D CT scan processing, advanced image segmentation, and lung nodule detection. The dataset is large and demands significant GPU resources and domain knowledge in medical imaging.

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
Jan 12, 2017

Entry assessment

est.
25

Prepare before joining

Overall fit estimate

Beginner fit25/100
Learning value78/100

Confirm eligibility and time commitment before moving into formal preparation.

18+

Open official pageSign in to saveOpen guide

Timeline

Registration opens
Jan 12, 2017
Registration deadline
Mar 31, 2017
Submission deadline
Apr 12, 2017
Competition ends
Apr 12, 2017

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
Jan 12, 2017
Source created
Jan 3, 2017
Published on this site
Mar 14, 2026