Datasets:

Voxel51
/

VisDrone2019-DET

Tasks:

Object Detection

Modalities:

Formats:

Languages:

Size:

ArXiv:

Tags:

object-detection

Libraries:

License:

Dataset card Data Studio Files Files and versions

jamarks commited on May 1, 2024

Commit

c5d05d4

·

verified ·

1 Parent(s): e663056

Update README.md

Files changed (1) hide show

README.md +4 -4

README.md CHANGED Viewed

@@ -46,10 +46,10 @@ dataset_summary: >
   # Load the dataset
-  dataset = fouh.load_from_hub("jamarks/VisDrone2019-DET")
   ## Or just load the first 1000 samples
-  ## dataset = fouh.load_from_hub("jamarks/VisDrone2019-DET", max_samples=1000)
   # Launch the App
@@ -84,8 +84,8 @@ import fiftyone as fo
 import fiftyone.utils.huggingface as fouh
 # Load the dataset
-# Note: other available arguments include 'split', 'max_samples', etc
-dataset = fouh.load_from_hub("jamarks/VisDrone2019-DET")
 # Launch the App
 session = fo.launch_app(dataset)

   # Load the dataset
+  dataset = fouh.load_from_hub("Voxel51/VisDrone2019-DET")
   ## Or just load the first 1000 samples
+  ## dataset = fouh.load_from_hub("Voxel51/VisDrone2019-DET", max_samples=1000)
   # Launch the App
 import fiftyone.utils.huggingface as fouh
 # Load the dataset
+# Note: other available arguments include 'max_samples', 'persistent`, 'overwrite' etc
+dataset = fouh.load_from_hub("Voxel51/VisDrone2019-DET")
 # Launch the App
 session = fo.launch_app(dataset)