Datasets:

Voxel51
/

Football-Player-Segmentation

Tasks:

Object Detection

Modalities:

Formats:

Languages:

Size:

Tags:

object-detection

Libraries:

License:

Dataset card Viewer Files Files and versions Community

jamarks commited on May 10

Commit

4fd647b

•

1 Parent(s): e4d6176

Update README.md

Files changed (1) hide show

README.md +3 -3

README.md CHANGED Viewed

@@ -50,7 +50,7 @@ dataset_summary: '
   # Note: other available arguments include ''max_samples'', etc
-  dataset = fouh.load_from_hub("voxel51/Football-Player-Segmentation")
   # Launch the App
@@ -89,7 +89,7 @@ import fiftyone.utils.huggingface as fouh
 # Load the dataset
 # Note: other available arguments include 'max_samples', etc
-dataset = fouh.load_from_hub("voxel51/Football-Player-Segmentation")
 # Launch the App
 session = fo.launch_app(dataset)
@@ -106,7 +106,7 @@ This dataset is specifically designed for computer vision tasks related to playe
 - **Language(s) (NLP):** en
 - **License:** cc0-1.0
-### Dataset Sources [optional]
 <!-- Provide the basic links for the dataset. -->

   # Note: other available arguments include ''max_samples'', etc
+  dataset = fouh.load_from_hub("Voxel51/Football-Player-Segmentation")
   # Launch the App
 # Load the dataset
 # Note: other available arguments include 'max_samples', etc
+dataset = fouh.load_from_hub("Voxel51/Football-Player-Segmentation")
 # Launch the App
 session = fo.launch_app(dataset)
 - **Language(s) (NLP):** en
 - **License:** cc0-1.0
+### Dataset Sources
 <!-- Provide the basic links for the dataset. -->