Raccoon Object Detection Dataset

# Overview

This dataset contains 196 images of raccoons and 213 bounding boxes (some images have two raccoons). This is a single class problem, and images vary in dimensions. It's a great first dataset for getting started with object detection.

This dataset was originally collected by [Dat Tran](https://github.com/datitran/raccoon_dataset), released with MIT license, and posted here with his permission.


Per Roboflow's Dataset Health Check, here's how images vary in size:


# Use Cases

Find raccoons!

This dataset is a great starter dataset for building an object detection model. Dat has written a comprehensive tutorial [here](https://github.com/datitran/object_detector_app).

# Getting Started

Fork or download this dataset and follow Dat's [tutorial](https://towardsdatascience.com/building-a-real-time-object-recognition-app-with-tensorflow-and-opencv-b7a2b4ebdc32) for more.

概述
本数据集包含196张浣熊图像及213个边界框（部分图像中包含两只浣熊）。这是一个单类问题，图像尺寸各异。它是学习目标检测的绝佳入门数据集。
本数据集最初由[Dat Tran](https://github.com/datitran/raccoon_dataset)收集，遵循MIT许可协议发布，并在此处经其授权发布。
根据Roboflow的数据集健康检查，以下是图像尺寸的分布情况：
应用场景
发现浣熊！
本数据集是构建目标检测模型的理想入门数据集。Dat撰写了全面的教程，可在此[链接](https://github.com/datitran/object_detector_app)找到。
入门指南
克隆或下载此数据集，并遵循Dat的[教程](https://towardsdatascience.com/building-a-real-time-object-recognition-app-with-tensorflow-and-opencv-b7a2b4ebdc32)以获取更多信息。