地球资源数据云——数据资源详情
猫图像数据集
该数据集《Cat images Dataset》主要用于监督学习任务，数据形态以图像为主。 题目说明：Identify CAT or NOT . 任务类型：图像监督学习。 建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：未检测到标准 CSV，可优先查看目录中的索引或说明文件。 Context There are some great computer vision kaggle competitions that you can use to test and develop your skills. In general, you'll find competitions easiest for exercising your lesson 1 skills where: The images are full color, and of similar size to imagenet (224x224), since if they are very different it will be harder to make fine - tuning from imagenet work Content 1. X - Data containing 209 training and 50 testing images of pixel 64643
摘要概览
该数据集《Cat images Dataset》主要用于监督学习任务，数据形态以图像为主。 题目说明：Identify CAT or NOT .
任务类型：图像监督学习。
建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。
评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。
可用文件：未检测到标准 CSV，可优先查看目录中的索引或说明文件。
Context
There are some great computer vision kaggle competitions that you can use to test and develop your skills. In general, you'll find competitions easiest for exercising your lesson 1 skills where:
The images are full color, and of similar size to imagenet (224x224), since if they are very different it will be harder to make fine - tuning from imagenet work
Content
1. X - Data containing 209 training and 50 testing images of pixel 64643