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hhaAndroid · Feb 5, 2024 · 9df27e4 · 9df27e4
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diff --git a/README.md b/README.md
@@ -101,6 +101,8 @@ Apart from MMDetection, we also released [MMEngine](https://github.com/open-mmla
 
 ## What's New
 
+💎 **We have released the pre-trained weights for MM-Grounding-DINO Swin-B and Swin-L, welcome to try and give feedback.**
+
 ### Highlight
 
 **v3.3.0** was released in 5/1/2024:

diff --git a/README_zh-CN.md b/README_zh-CN.md
@@ -100,6 +100,8 @@ MMDetection 是一个基于 PyTorch 的目标检测开源工具箱。它是 [Ope
 
 ## 最新进展
 
+💎 **我们已经发布了 MM-Grounding-DINO Swin-B 和 Swin-L 预训练权重，欢迎试用和反馈.**
+
 ### 亮点
 
 **v3.3.0** 版本已经在 2024.1.5 发布：

diff --git a/configs/mm_grounding_dino/README.md b/configs/mm_grounding_dino/README.md
@@ -22,7 +22,7 @@ Please refer to [dataset_prepare.md](dataset_prepare.md) or [中文版数据准
 
 ## ✨ What's New
 
-[2024/02/05] 💎 **We have released the swin-b and swin-l weights. You are welcome to try them out.**
+💎 **We have released the pre-trained weights for Swin-B and Swin-L, welcome to try and give feedback.**
 
 ## Usage
 
@@ -41,7 +41,7 @@ Please refer to [usage.md](usage.md) or [中文版用法说明](usage_zh-CN.md)
 |  MM-GDINO-T  |  Swin-T  | Zero-shot | 50.6(+2.2) |     O365,GoldG,V3Det     |          [config](grounding_dino_swin-t_pretrain_obj365_goldg_v3det.py)          |             [model](https://download.openmmlab.com/mmdetection/v3.0/mm_grounding_dino/grounding_dino_swin-t_pretrain_obj365_goldg_v3det/grounding_dino_swin-t_pretrain_obj365_goldg_v3det_20231218_095741-e316e297.pth)      \| [log](https://download.openmmlab.com/mmdetection/v3.0/mm_grounding_dino/grounding_dino_swin-t_pretrain_obj365_goldg_v3det/grounding_dino_swin-t_pretrain_obj365_goldg_v3det_20231218_095741.log.json)             |
 |  MM-GDINO-T  |  Swin-T  | Zero-shot | 50.4(+2.0) |  O365,GoldG,GRIT,V3Det   |      [config](grounding_dino_swin-t_pretrain_obj365_goldg_grit9m_v3det.py)       | [model](https://download.openmmlab.com/mmdetection/v3.0/mm_grounding_dino/grounding_dino_swin-t_pretrain_obj365_goldg_grit9m_v3det/grounding_dino_swin-t_pretrain_obj365_goldg_grit9m_v3det_20231204_095047-b448804b.pth)  \| [log](https://download.openmmlab.com/mmdetection/v3.0/mm_grounding_dino/grounding_dino_swin-t_pretrain_obj365_goldg_grit9m_v3det/grounding_dino_swin-t_pretrain_obj365_goldg_grit9m_v3det_20231204_095047.log.json) |
 |  MM-GDINO-B  |  Swin-B  | Zero-shot |    52.5    |     O365,GoldG,V3Det     |          [config](grounding_dino_swin-b_pretrain_obj365_goldg_v3det.py)          |                                                                                                                     [model](https://download.openmmlab.com/mmdetection/v3.0/mm_grounding_dino/grounding_dino_swin-b_pretrain_obj365_goldg_v3det/grounding_dino_swin-b_pretrain_obj365_goldg_v3de-f83eef00.pth)  \| [log](<>)                                                                                                                      |
-| MM-GDINO-B\* |  Swin-B  |     -     |            |         O365,ALL         |                 [config](grounding_dino_swin-b_pretrain_all.py)                  |                                                                                                                                                                                                             [model](<>)  \| [log](<>)                                                                                                                                                                                                             |
+| MM-GDINO-B\* |  Swin-B  |     -     |    59.5    |         O365,ALL         |                 [config](grounding_dino_swin-b_pretrain_all.py)                  |                                                                                                                                    [model](https://download.openmmlab.com/mmdetection/v3.0/mm_grounding_dino/grounding_dino_swin-b_pretrain_all/grounding_dino_swin-b_pretrain_all-f9818a7c.pth)  \| [log](<>)                                                                                                                                    |
 |  MM-GDINO-L  |  Swin-L  | Zero-shot |    53.0    | O365V2,OpenImageV6,GoldG |             [config](grounding_dino_swin-l_pretrain_obj365_goldg.py)             |                                                                                                                           [model](https://download.openmmlab.com/mmdetection/v3.0/mm_grounding_dino/grounding_dino_swin-l_pretrain_obj365_goldg/grounding_dino_swin-l_pretrain_obj365_goldg-34dcdc53.pth)  \| [log](<>)                                                                                                                           |
 | MM-GDINO-L\* |  Swin-L  |     -     |    60.3    |  O365V2,OpenImageV6,ALL  |                 [config](grounding_dino_swin-l_pretrain_all.py)                  |                                                                                                                                    [model](https://download.openmmlab.com/mmdetection/v3.0/mm_grounding_dino/grounding_dino_swin-l_pretrain_all/grounding_dino_swin-l_pretrain_all-56d69e78.pth)  \| [log](<>)                                                                                                                                    |
 

diff --git a/configs/mm_grounding_dino/metafile.yml b/configs/mm_grounding_dino/metafile.yml
@@ -68,8 +68,8 @@ Models:
       - Task: Object Detection
         Dataset: COCO
         Metrics:
-          box AP:
-    Weights:
+          box AP: 59.5
+    Weights: https://download.openmmlab.com/mmdetection/v3.0/mm_grounding_dino/grounding_dino_swin-b_pretrain_all/grounding_dino_swin-b_pretrain_all-f9818a7c.pth
   - Name: grounding_dino_swin-l_pretrain_obj365_goldg
     In Collection: MM Grounding DINO
     Config: configs/mm_grounding_dino/grounding_dino_swin-l_pretrain_obj365_goldg.py