Update README.md

README.md

@@ -12,41 +12,31 @@ size_categories:
 - n<1K
 ---
 
-# Dataset Card for "monet-joe/cv_backbones"
+# Dataset Card for "monetjoe/cv_backbones"
 This repository consolidates the collection of backbone networks for pre-trained computer vision models available on the PyTorch official website. It mainly includes various Convolutional Neural Networks (CNNs) and Vision Transformer models pre-trained on the ImageNet1K dataset. The entire collection is divided into two subsets, V1 and V2, encompassing multiple classic and advanced versions of visual models. These pre-trained backbone networks provide users with a robust foundation for transfer learning in tasks such as image recognition, object detection, and image segmentation. Simultaneously, it offers a convenient choice for researchers and practitioners to flexibly apply these pre-trained models in different scenarios.
 
 ## Viewer
-<https://huggingface.co/spaces/monet-joe/cv-backbones>
+<https://huggingface.co/spaces/monetjoe/cv-backbones>
 ### Data Fields
 |      ver      |     type      |    input_size    |                url                |
 | :-----------: | :-----------: | :--------------: | :-------------------------------: |
 | backbone name | backbone type | input image size | url of pretrained model .pth file |
 
-### Splits
-| subsets |
-| :--: |
-| IMAGENET1K_V1 |
-| IMAGENET1K_V2 |
-
 ## Maintenance
 ```bash
-git clone git@hf.co:datasets/monet-joe/cv_backbones
+git clone git@hf.co:datasets/monetjoe/cv_backbones
 ```
 
 ## Usage
 ```python
 from datasets import load_dataset
 
-backbones = load_dataset("monet-joe/cv_backbones")
-
-for weights in backbones["IMAGENET1K_V1"]:
-    print(weights)
-
-for weights in backbones["IMAGENET1K_V2"]:
+backbones = load_dataset("monetjoe/cv_backbones", name="default", split="train")
+for weights in backbones:
     print(weights)
 ```
 
-## Param count
+## Param counts of different backbones
 ### IMAGENET1K_V1
 |      Backbone      | Params(M) |
 | :----------------: | :-------: |