@@ -229,24 +229,24 @@ MMSegmentation v1.x 在 0.x 版本的基础上有了显著的提升,提供了
229229<details open >
230230<summary >已支持的数据集:</summary >
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232- - [x] [ Cityscapes] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/dataset_prepare .md#cityscapes )
233- - [x] [ PASCAL VOC] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/dataset_prepare .md#pascal-voc )
234- - [x] [ ADE20K] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/dataset_prepare .md#ade20k )
235- - [x] [ Pascal Context] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/dataset_prepare .md#pascal-context )
236- - [x] [ COCO-Stuff 10k] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/dataset_prepare .md#coco-stuff-10k )
237- - [x] [ COCO-Stuff 164k] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/dataset_prepare .md#coco-stuff-164k )
238- - [x] [ CHASE_DB1] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/dataset_prepare .md#chase-db1 )
239- - [x] [ DRIVE] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/dataset_prepare .md#drive )
240- - [x] [ HRF] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/dataset_prepare .md#hrf )
241- - [x] [ STARE] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/dataset_prepare .md#stare )
242- - [x] [ Dark Zurich] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/dataset_prepare .md#dark-zurich )
243- - [x] [ Nighttime Driving] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/dataset_prepare .md#nighttime-driving )
244- - [x] [ LoveDA] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/dataset_prepare .md#loveda )
245- - [x] [ Potsdam] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/dataset_prepare .md#isprs-potsdam )
246- - [x] [ Vaihingen] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/dataset_prepare .md#isprs-vaihingen )
247- - [x] [ iSAID] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/dataset_prepare .md#isaid )
248- - [x] [ Mapillary Vistas] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/en /user_guides/2_dataset_prepare.md#mapillary-vistas-datasets )
249- - [x] [ LEVIR-CD] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/en /user_guides/2_dataset_prepare.md#levir-cd )
232+ - [x] [ Cityscapes] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/user_guides/2_dataset_prepare .md#cityscapes )
233+ - [x] [ PASCAL VOC] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/user_guides/2_dataset_prepare .md#pascal-voc )
234+ - [x] [ ADE20K] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/user_guides/2_dataset_prepare .md#ade20k )
235+ - [x] [ Pascal Context] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/user_guides/2_dataset_prepare .md#pascal-context )
236+ - [x] [ COCO-Stuff 10k] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/user_guides/2_dataset_prepare .md#coco-stuff-10k )
237+ - [x] [ COCO-Stuff 164k] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/user_guides/2_dataset_prepare .md#coco-stuff-164k )
238+ - [x] [ CHASE_DB1] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/user_guides/2_dataset_prepare .md#chase-db1 )
239+ - [x] [ DRIVE] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/user_guides/2_dataset_prepare .md#drive )
240+ - [x] [ HRF] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/user_guides/2_dataset_prepare .md#hrf )
241+ - [x] [ STARE] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/user_guides/2_dataset_prepare .md#stare )
242+ - [x] [ Dark Zurich] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/user_guides/2_dataset_prepare .md#dark-zurich )
243+ - [x] [ Nighttime Driving] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/user_guides/2_dataset_prepare .md#nighttime-driving )
244+ - [x] [ LoveDA] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/user_guides/2_dataset_prepare .md#loveda )
245+ - [x] [ Potsdam] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/user_guides/2_dataset_prepare .md#isprs-potsdam )
246+ - [x] [ Vaihingen] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/user_guides/2_dataset_prepare .md#isprs-vaihingen )
247+ - [x] [ iSAID] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/user_guides/2_dataset_prepare .md#isaid )
248+ - [x] [ Mapillary Vistas] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn /user_guides/2_dataset_prepare.md#mapillary-vistas-datasets )
249+ - [x] [ LEVIR-CD] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn /user_guides/2_dataset_prepare.md#levir-cd )
250250- [x] [ BDD100K] ( https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/user_guides/2_dataset_prepare.md#bdd100K )
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252252</details >
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