Autodistill: Label and Train a Computer Vision Model in Under 20 Minutes
Вставка
- 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
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?
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.
Please zoom into the screen and re upload .
Thanks for the recommendation. Will definitely do it in my next video!
Was “aircraft” a pre trained category. What if I used an unknown category?
We are autolabeling it! You can use any label, but make sure to choose a label that is similar to the image.
I wish the video was clearer, higher quality and louder/closer to the mic
Is it possible to save these autolabels to disk? I would like to have them for reuse and improving on the auto-labels.
no one replied! strange. Yes, it's possible. convert the mask into pascalvocxml format
Audio is terrible! Can't understand the narration.
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.
I didn't enjoy the lesson.i could not see your screen and explanations are not clear.
Thanks for the comment. Will definitely take your advice on the next one!