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12-month computer vision learning roadmap v1.0.0

Use this resource to build a twelve-month learning plan in computer vision

New

  • 222 downloads
  • 177 likes
  • 47 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install twelve-month-computer-vision-roadmap

First time: connect the CLI with

npx --yes palatekit@latest login

The prompt describes a student profile (engineering, OpenCV, PyTorch, ROS2) and asks for a twelve-month plan with milestones, courses and papers to read. You get a progression framework to adapt to your level.

Mostly picked by

Updated November 2, 2026

Card for the “12-month computer vision learning roadmap” prompt

Details

Generates with
Your agent's model
Licence
CC0-1.0

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What you get

  • The full prompt, ready to paste
  • Profile to replace: training, projects and goals

Good fit for

  • A student preparing a final-year vision project
  • An engineer building embedded-AI skills

Not for

    Tags

    • computer vision
    • roadmap
    • learning
    • embedded

    About

    You say

    “Adapt the plan to a profile without ROS2 and add quarterly milestones.”

    Card for the “12-month computer vision learning roadmap” prompt

    Prompt published by ezekielmitchll@gmail.com under the CC0-1.0 license, delivered in its original version.

    Show more

    How to use it

    1. Paste the prompt into your assistant or agent
    2. Ask it to build a twelve-month learning plan in computer vision
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE0.6 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • twelve-month-computer-vision-roadmap.md4.1 KB

    Origin and licence

    Listed unmodified

    Author
    ezekielmitchll@gmail.com
    Source
    github.com/f/prompts.chat/blob/cecef6fc73c2c389770695a56252d331981727de/prompts.csv
    Licence
    CC0-1.0

    Notice

    « 12-Month AI and Computer Vision Roadmap for Defense Applications » (ezekielmitchll@gmail.com, CC0-1.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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