深度学习神经网络数据集模型合集
本文收集新手入门常用的数据集、模型的下载地址,如果源下载速度较慢,也会提供镜像加速。
数据集
只搜集最新版,如果需要以前版本可以到官网中找
名称 | 加速地址 | 大小 | 格式 | 数量 |
---|---|---|---|---|
MS COCO (Microsoft Common Objects in Context) 2017 | 500G | |||
Pascal VOC Data 2012版 | 1.9G 训练 + 1.8G 测试 | 20 classes. The train/val data has 11,530 images containing 27,450 ROI annotated objects and 6,929 segmentations. | ||
Open Images dataset V6 | 0.5T | |||
ImageNet | kaggle中 | |||
CIFAR-10 | 162M | bin | 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images. | |
CIFAR-100 | 160M | bin | 100 classes containing 600 images each. There are 500 training images and 100 testing images per class. The 100 classes in the CIFAR-100 are grouped into 20 superclasses. | |
SUN 2010 数据集 | 39.7G | contains 899 categories and 130,519 images. We use 397 well-sampled categories | ||
ADE20K | 25.574 images train 2.000 images test |
模型
可能有用的工具
https://manaai.cn/
https://tianchi.aliyun.com/
https://ptorch.com/news/132.html
https://www.datatang.com/
https://hao.199it.com/
名称 | 备注 |
---|---|
yolov5 | |
darknet |
深度学习神经网络数据集模型合集
https://blog.jackeylea.com/data/collections-of-dataset-and-model/