Dockship - Boat Type Classification

您可使用数据集将图像分类为给定类型的船只数据集包含9种船型的图像。它包含两个目录“ TRAIN”和“ TEST”，分别包含1162和300张图像。训练图像在特定分类本身的目录中提供。目录的名称是用于提交的“类标签”。目的是将“测试”图像分类为9个类别之一。

This is an image classification dataset for categorizing images into predefined vessel types. It contains images of 9 vessel categories, and includes two directories: "TRAIN" and "TEST", which hold 1162 and 300 images respectively. Training images are stored in directories corresponding to their respective class labels, where the directory name for each class acts as the official class label for submission. The task of this dataset is to classify all images in the "TEST" directory into one of the 9 predefined vessel categories.

搜集汇总

背景与挑战

背景概述

该数据集是一个用于船只类型分类的图像数据集，包含9种船型的1462张图像（训练集1162张，测试集300张）。数据集采用CC0公共领域许可，适用于图像分类模型的训练和评估。