OriLib commited on
Commit
89dfb27
1 Parent(s): 05299b6

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +23 -5
README.md CHANGED
@@ -8,6 +8,29 @@ tags:
8
 
9
  # BRIA Background Removal v1.3
10
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
11
  ## Usage
12
 
13
  ```python
@@ -63,8 +86,3 @@ im_array = (result*255).permute(1,2,0).cpu().data.numpy().astype(np.uint8)
63
  cv2.imwrite(os.path.join(result_path, im_name+".png"), im_array)
64
  ```
65
 
66
- ## Training data
67
- Bria-RMBG model was trained over 12000 high quality, high resolution images.
68
- All images were manualy labeled pixel-wise accuratly. The images belong to veriety of categories, the majority of them inclues people.
69
-
70
- ## Qualitative Evaluation
 
8
 
9
  # BRIA Background Removal v1.3
10
 
11
+ Background removal capability across all categories and image types that capture the variety of the world.
12
+
13
+
14
+ ### Model Description
15
+
16
+ - **Developed by:** BRIA AI
17
+ - **Model type:** Background removal image-to-image model
18
+ - **License:** [BriaRMBG-1.3](https://bria.ai/bria-2-0-huggingface-model-license-agreement/)
19
+ - **Model Description:** BRIA RMBG 1.3 is an image-to-image model trained exclusively on a professional-grade. It is designed for commercial.
20
+ - **Resources for more information:** [BRIA AI](https://bria.ai/)
21
+
22
+
23
+ ### Get Access
24
+ BRIA RMBG 1.3 is available under the BRIA RMBG 1.3 License Agreement, allowing commercial usage with an attribution model that supports our data contributors. To access the model, please contact us.
25
+ By submitting this form, you agree to BRIA’s [Privacy policy](https://bria.ai/privacy-policy/) and [Terms & conditions](https://bria.ai/terms-and-conditions/).
26
+
27
+
28
+ ## Training data
29
+ Bria-RMBG model was trained over 12000 high quality, high resolution images.
30
+ All images were manualy labeled pixel-wise accuratly. The images belong to veriety of categories, the majority of them inclues people.
31
+
32
+ ## Qualitative Evaluation
33
+
34
  ## Usage
35
 
36
  ```python
 
86
  cv2.imwrite(os.path.join(result_path, im_name+".png"), im_array)
87
  ```
88