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KaggleComputer VisionAdvancedRegistration closed

Dstl Satellite Imagery Feature Detection

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 28, 2017
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: Dstl Satellite Imagery Feature Detection.

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 15, 2016

Entry assessment

est.
34

Prepare before joining

Overall fit estimate

Beginner fit34/100
Learning value71/100

Confirm eligibility and time commitment before moving into formal preparation.

18+

Open official pageSign in to saveOpen guide

Timeline

Registration opens
Dec 15, 2016
Registration deadline
Feb 28, 2017
Submission deadline
Mar 7, 2017
Competition ends
Mar 7, 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
Dec 15, 2016
Source created
Dec 6, 2016
Published on this site
Mar 14, 2026

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