Annotate Images with Custom Classes for YOLOv3 Object Detection (labelImg) @DataScienceGarage
Annotate Images with Custom Classes for YOLOv3 Object Detection (labelImg)  @DataScienceGarage
Uploaded September 2019 | Updated September 2026, 2 weeks ago
Tutorial demonstrates how to install labelImg - a special tool for annotate custom classes on your own images for YOLOv3 algorithm.

Used OS: Windows 8 but fit on Windows 10 also.

Content of the tutoral:
0:03 - Idea. I want to annotate custom classes on my images for train YOLOv3 model for object detection.
0:17 - Step 1. Install a labelImg in Command Line (CMD).
0:46 - Step 2. Check dependencies for PyQt5 and lxml Python modules.
1:11 - Step 3. Run labelImg on you computer and start annotate new custom classes on your images. Have fun!
2:08 - What if you get error with resources.py. Suggestion is in video.

If you want to know hot to get all your images for object detection or image classification, I advice to check this my video: youtube.com/watch?v=T2kvOGq7P18

Prepared by Vytautas Bielinskas.

#yolo #deeplearning #labelimages
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Annotate Images with Custom Classes for YOLOv3 Object Detection (labelImg)

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