keremberke/forklift-object-detection

该数据集主要用于目标检测任务，涉及的对象包括叉车和人员。数据集来源于Roboflow平台，包含421张图片，分为训练集、验证集和测试集，数量分别为295、84和42。图片以COCO格式标注，并进行了自动方向调整的预处理，未应用图像增强技术。

This dataset is primarily used for object detection tasks, with the target objects including forklifts and pedestrians. It is sourced from the Roboflow platform, containing 421 images in total, which are split into training, validation and test sets with the sample counts of 295, 84, and 42 respectively. All images are annotated in COCO format, with automatic orientation adjustment applied during preprocessing, and no image augmentation techniques were utilized.

原始信息汇总

数据集概述

数据集标签

• forklift
• person

图像数量

• 训练集: 295张
• 验证集: 84张
• 测试集: 42张

使用方法

1. 安装 datasets 库: bash pip install datasets

2. 加载数据集: python from datasets import load_dataset ds = load_dataset("keremberke/forklift-object-detection", name="full") example = ds[train][0]

许可证

CC BY 4.0