The Racoon Detection project focuses on using object detection techniques to identify and locate raccoons in images. This project utilizes machine learning and computer vision to build a model capable of detecting raccoons with a high level of accuracy.
Dataset include 200 images files belonging to 2 classes(Racoon or not).
The goal of this project is to create a reliable and accurate raccoon detection system using state-of-the-art object detection techniques. The system will be able to process input images and identify the presence of raccoons by drawing bounding boxes around them.
This project is licensed under the MIT License.
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