The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider removing the loading script and relying on automated data support (you can use convert_to_parquet from the datasets library). If this is not possible, please open a discussion for direct help.

LVIS

Dataset Summary

This dataset is the implementation of LVIS dataset into Hugging Face datasets. Please visit the original website for more information.

Loading

This code returns train, validation and test generators.

from datasets import load_dataset

dataset = load_dataset("winvoker/lvis")

Objects is a dictionary which contains annotation information like bbox, class.

DatasetDict({
    train: Dataset({
        features: ['id', 'image', 'height', 'width', 'objects'],
        num_rows: 100170
    })
    validation: Dataset({
        features: ['id', 'image', 'height', 'width', 'objects'],
        num_rows: 4809
    })
    test: Dataset({
        features: ['id', 'image', 'height', 'width', 'objects'],
        num_rows: 19822
    })
})

Access Generators

train = dataset["train"]
validation = dataset["validation"]
test = dataset["test"] 

An example row is as follows.

{  'id': 0, 
   'image': '000000437561.jpg', 
   'height': 480, 
   'width': 640, 
   'objects': {
               'bboxes': [[[392, 271, 14, 3]], 
               'classes': [117], 
               'segmentation': [[376, 272, 375, 270, 372, 269, 371, 269, 373, 269, 373]]
               }
 }
Downloads last month
50