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  3. Second Annual Data Science Bowl
KaggleComputer VisionAdvancedRegistration closed

Second Annual Data Science Bowl

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
Feb 29, 2016
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
Transforming How We Diagnose Heart Disease

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
Dec 14, 2015

Entry assessment

est.
34

Prepare before joining

Overall fit estimate

Beginner fit34/100
Learning value66/100

Confirm eligibility and time commitment before moving into formal preparation.

18+

Open official pageSign in to saveOpen guide

Timeline

Registration opens
Dec 14, 2015
Registration deadline
Feb 29, 2016
Submission deadline
Mar 14, 2016
Competition ends
Mar 14, 2016

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
Dec 14, 2015
Source created
Nov 5, 2015
Published on this site
Mar 14, 2026