Datasets:

Dataseeds
/

DataSeeds.AI-Sample-Dataset-DSD

Tasks:

Image Classification

Object Detection

Modalities:

Formats:

Languages:

Size:

ArXiv:

Tags:

computer-vision

scene-understanding

Libraries:

License:

Dataset card Data Studio Files Files and versions Community

Zedge commited on Jun 5

Commit

2ea49a0

·

verified ·

1 Parent(s): 2ee9e64

Update README.md

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -167,7 +167,7 @@ from torch.utils.data import DataLoader
 import torch
 # Load dataset
-dataset = load_dataset("Dataseeds/DataSeeds-Sample-Dataset-DSD", split="train")
 # Convert to PyTorch format
 dataset.set_format(type="torch", columns=["image", "image_title", "segmentation_masks"])
@@ -183,7 +183,7 @@ import tensorflow as tf
 from datasets import load_dataset
 # Load dataset
-dataset = load_dataset("Dataseeds/DataSeeds-Sample-Dataset-DSD", split="train")
 # Convert to TensorFlow Dataset
 tf_dataset = dataset.to_tf_dataset(

 import torch
 # Load dataset
+dataset = load_dataset("Dataseeds/DataSeeds.AI-Sample-Dataset-DSD", split="train")
 # Convert to PyTorch format
 dataset.set_format(type="torch", columns=["image", "image_title", "segmentation_masks"])
 from datasets import load_dataset
 # Load dataset
+dataset = load_dataset("Dataseeds/DataSeeds.AI-Sample-Dataset-DSD", split="train")
 # Convert to TensorFlow Dataset
 tf_dataset = dataset.to_tf_dataset(