DINOv2 for Custom Dataset Segmentation: A Comprehensive Tutorial.

Author(s): Sumit Pandey

Originally published on Towards AI.

After YOLOv8 and SAM (Segment Anything Model), the most anticipated computer vision model is DINOv2. I got the motivation for this tutorial from this GitHub repository: https://github.com/NielsRogge/Transformers-Tutorials/tree/master, while running the code, I found 2 bugs because of that, I got some annoying errors while training the model (in his tutorial, he stopped the training the process after some steps and error arises in between and at last training step). The entire code is taken from his notebook (except for some changes 🙂 ), and here is the plan of attack:

Introduction of DINOv2Library installationLoad datasetCreate PyTorch datasetCreate PyTorch dataloadersDefine modelTrain the… Read the full blog for free on Medium.

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Published via Towards AI