Autodistill: Label and Train a Computer Vision Model in Under 20 Minutes

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  • Опубліковано 3 лип 2024
  • Autodistill is a new library for creating computer vision models without labeling any training data. In this video, we evaluate the speed and efficiency of Autodistill by auto-labeling, training a model, and running inference in under 20 minutes!
    - Google Colab: drive.google.com/file/d/1uWPI...
    Chapters:
    00:00 Autodistill Overview
    00:50 Setup and Installation
    01:50 Import Dataset
    03:00 Initialize Base Model and Autolabel
    04:50 Initialize Target Model and Train
    07:10 Visualize the Results
    Resources:
    - Autodistill Repository: github.com/autodistill/autodi...
    - Autodistill Overview: blog.roboflow.com/autodistill
    - Roboflow: roboflow.com
    - Roboflow Universe: universe.roboflow.com
    - Roboflow Notebooks Repository: github.com/roboflow/notebooks
    Don't forget to like, comment, and subscribe for more content on AI, computer vision, and the latest in ML!
    Stay updated with the projects I'm working on at github.com/roboflow and github.com/artyaltanzaya
  • Наука та технологія

КОМЕНТАРІ • 13

  • @sabrimas9718
    @sabrimas9718 Рік тому +2

    i tried yolov8 for sometime, and when i want to try tuning hyperparameters using raytune, it shows an error, even though i followed the steps provided by Ultralytics, can you make a video about tuning yolov8 hyperparameters using raytune?

    • @KEKW-lc4xi
      @KEKW-lc4xi Рік тому +2

      I have some experience with Roboflow, but I wouldn't recommend it. It's primarily a profit-oriented business that prioritizes their website and streamlined processes. If your objective is to truly learn and gain a deep understanding, it's best to avoid using Roboflow. However, if your primary goal is to quickly implement something without necessarily comprehending the underlying concepts, then Roboflow might be suitable for your specific use case.

  • @samarthsaraogi6088
    @samarthsaraogi6088 Рік тому +5

    Please zoom into the screen and re upload .

    • @Roboflow
      @Roboflow  Рік тому +2

      Thanks for the recommendation. Will definitely do it in my next video!

  • @alanjohnstone8766
    @alanjohnstone8766 Рік тому +1

    Was “aircraft” a pre trained category. What if I used an unknown category?

    • @Roboflow
      @Roboflow  Рік тому

      We are autolabeling it! You can use any label, but make sure to choose a label that is similar to the image.

  • @c.s.7474
    @c.s.7474 4 місяці тому

    I wish the video was clearer, higher quality and louder/closer to the mic

  • @olanrewajuatanda533
    @olanrewajuatanda533 Рік тому +1

    Is it possible to save these autolabels to disk? I would like to have them for reuse and improving on the auto-labels.

    • @asifahmed1801
      @asifahmed1801 8 місяців тому

      no one replied! strange. Yes, it's possible. convert the mask into pascalvocxml format

  • @davecarlton2489
    @davecarlton2489 Рік тому +2

    Audio is terrible! Can't understand the narration.

    • @Roboflow
      @Roboflow  Рік тому

      Thanks for the feedback! Will keep that in mind in the next video. If you are struggling with the narration or code, we also have the notebook provided so you can run them easily to auto label your dataset with only texts! Feel free to post any questions on our forum.

  • @geniusxbyofejiroagbaduta8665

    I didn't enjoy the lesson.i could not see your screen and explanations are not clear.

    • @Roboflow
      @Roboflow  Рік тому

      Thanks for the comment. Will definitely take your advice on the next one!