Скачать или смотреть Using Detectron2 for Object Detection in the Oxford-IIIT Pet Dataset | Computer Vision | Apna Python

#computervision #objectdetection

This video showcases the use of Detectron2, a state-of-the-art computer vision platform, to perform object detection on the Oxford-IIIT Pet dataset. The Oxford-IIIT Pet dataset contains images of pets with diverse species and annotations of their breeds and other important features.

Using Detectron2, we can easily train a model to identify different types of pets in the images and draw bounding boxes around them. The code for this project can be found on GitHub.

The GitHub repository includes instructions on how to set up the environment, download the dataset, and run the code to train and evaluate the model. It also contains the necessary files and scripts to reproduce the results.

Whether you are a computer vision enthusiast, a pet lover, or simply interested in learning how to use Detectron2, this video, and code will be a valuable resource for you.

The GitHub repository for this project can be found at the following URL:
https://github.com/amanchauhan71/Oxford-II...

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