DETR's hands on Colab Notebook

Sure, here is a hands-on Colab Notebook for DETR:

https://colab.research.google.com/github/facebookresearch/detectron2/blob/main/tools/train_net.py.ipynb

This Colab Notebook uses Detectron2, a high-performance open-source object detection library developed by Facebook AI Research. DETR (DEtection TRansformer) is a state-of-the-art object detection model that uses a transformer-based architecture instead of the traditional CNN-based approach.

In this notebook, you can train and evaluate a DETR model on your own dataset. It provides step-by-step instructions and code for data preparation, model training, and evaluation. You can also customize the model by adjusting hyperparameters or modifying the code.

Note that you will need to have a GPU-enabled environment to run this notebook. Google Colab provides free GPU resources that you can use for this purpose.