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KaggleComputer VisionIntermediateRegistration open

OpenAI to Z Challenge

A intermediate computer vision competition requiring roughly 15–40 hours for an end-to-end practice run.

Difficulty
Intermediate
Estimated effort
15–40 hours
Registration deadline
To be confirmed
Compute
Free GPU OK
OverviewPreparationSource

Overview

Who this competition fits

Intermediate practitioners interested in applying AI to geospatial and archaeological problems. Uses OpenAI models (o3/o4 mini and GPT 4.1) via API for satellite imagery analysis.

Read the original official blurb
Use OpenAI o3/o4 mini and GPT 4.1 models to help identify possibly hidden archeological sites

Preparation

From registration to a first submission

  1. 01

    Python

  2. 02

    OpenAI API usage

  3. 03

    computer vision basics

  4. 04

    geospatial data concepts

  5. 05

    deep learning fundamentals

Before you commit: Requires combining computer vision with geospatial analysis to identify potential archaeological sites in satellite imagery. Domain knowledge in remote sensing helps, and the evaluation is through a custom scoring framework.

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
May 15, 2025

Entry assessment

est.
30

Prepare before joining

Overall fit estimate

Beginner fit30/100
Learning value72/100

Confirm eligibility and time commitment before moving into formal preparation.

18+ · Location rules

Open official pageSign in to saveOpen guide

Timeline

Registration opens
May 15, 2025
Submission deadline
Jun 29, 2025
Competition ends
Jun 29, 2025

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
May 15, 2025
Source created
May 9, 2025
Published on this site
Mar 14, 2026

Official metric name was not present on the list/detail payload; evaluation_method points to the Kaggle evaluation page.