christti/coco_dataset_multi_label_script
收藏Hugging Face2024-03-06 更新2024-06-22 收录
下载链接：
https://hf-mirror.com/datasets/christti/coco_dataset_multi_label_script
下载链接
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资源简介：
## Usage
For testing purpose, you can use the hosted dummy dataset (`dummy_data`) as follows:
```
import datasets
ds = datasets.load_dataset("christti/coco_dataset_multi_label_script", "2017", data_dir="./dummy_data/")
```
For using the COCO dataset (2017), you need to download it manually first:
```
wget http://images.cocodataset.org/zips/train2017.zip
wget http://images.cocodataset.org/zips/val2017.zip
wget http://images.cocodataset.org/zips/test2017.zip
wget http://images.cocodataset.org/annotations/annotations_trainval2017.zip
wget http://images.cocodataset.org/annotations/image_info_test2017.zip
```
Then to load the dataset:
```
COCO_DIR = ...(path to the downloaded dataset directory)...
ds = datasets.load_dataset("christti/coco_dataset_multi_label_script", "2017", data_dir=COCO_DIR)
```
提供机构：
christti
原始信息汇总
数据集使用说明
测试用途
- 可以使用托管的虚拟数据集 (
dummy_data) 进行测试： python import datasets ds = datasets.load_dataset("christti/coco_dataset_multi_label_script", "2017", data_dir="./dummy_data/")
使用COCO数据集（2017）
-
需要手动下载数据集： bash wget http://images.cocodataset.org/zips/train2017.zip wget http://images.cocodataset.org/zips/val2017.zip wget http://images.cocodataset.org/zips/test2017.zip wget http://images.cocodataset.org/annotations/annotations_trainval2017.zip wget http://images.cocodataset.org/annotations/image_info_test2017.zip
-
下载后加载数据集： python COCO_DIR = ...(path to the downloaded dataset directory)... ds = datasets.load_dataset("christti/coco_dataset_multi_label_script", "2017", data_dir=COCO_DIR)
