Datasets:

Voxel51
/

InsPLAD

Tasks:

Image Classification

Object Detection

Modalities:

Formats:

Languages:

Size:

ArXiv:

Tags:

anomaly-detection

power-line-inspection

Libraries:

License:

Dataset card Data Studio Files Files and versions

harpreetsahota commited on 2 days ago

Commit

a68d69d

·

verified ·

1 Parent(s): 16901b6

Update README.md

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README.md +4 -2

README.md CHANGED Viewed

@@ -57,7 +57,7 @@ dataset_summary: '
   # Note: other available arguments include ''max_samples'', etc
-  dataset = load_from_hub("harpreetsahota/InsPLAD")
   # Launch the App
@@ -70,6 +70,8 @@ dataset_summary: '
 ---
 # Dataset Card for InsPLAD
 This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 49706 samples.
@@ -89,7 +91,7 @@ from fiftyone.utils.huggingface import load_from_hub
 # Load the dataset
 # Note: other available arguments include 'max_samples', etc
-dataset = load_from_hub("harpreetsahota/InsPLAD")
 # Launch the App
 session = fo.launch_app(dataset)

   # Note: other available arguments include ''max_samples'', etc
+  dataset = load_from_hub("Voxel51/InsPLAD")
   # Launch the App
 ---
 # Dataset Card for InsPLAD
+![image/png](insplad.gif)
 This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 49706 samples.
 # Load the dataset
 # Note: other available arguments include 'max_samples', etc
+dataset = load_from_hub("Voxel51/InsPLAD")
 # Launch the App
 session = fo.launch_app(dataset)