YOLO动物目标检测数据集：5000张图像及配置文件

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资源摘要信息:"YOLO多种动物目标检测数据集 yolo-animal-detect-dataset-1.zip" - 数据集类型: 目标检测数据集 - 数据集描述: 本数据集包含超过5000张图片，用于多种动物目标的检测训练。适用于YOLO系列算法进行模型训练。 - 数据集目录结构: 数据集已经预处理并配置好，按照YOLO框架所需格式划分为训练集(train)、验证集(val)和测试集(test)。 - 配置文件: 配置文件data.yaml已包含必要的目录信息，方便直接用于训练。其中指定了四个动物类别：大象(Elephant)、豹(Leopard)、猪(Pig)、虎(Tiger)。 - 训练算法: 支持的算法包括YOLOv5、YOLOv7、YOLOv8等，这些算法可以无缝接入本数据集进行训练。 - 参考链接: 提供了相关的模型训练和检测结果的参考网址，内容发布在CSDN博客。 - 数据集文件名称: 数据集的压缩包文件名为yolo_animal_detect_dataset_1.zip。

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YOLO多种动物目标检测数据集 yolo-animal-detect-dataset-1.zip （2000个子文件）

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共 2000 条

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