metadata
dataset_info:
features:
- name: image
dtype: image
- name: mask
dtype: image
- name: width
dtype: int32
- name: height
dtype: int32
- name: frame_num
dtype: int32
- name: class_ids
sequence: int32
- name: class_names
sequence: string
- name: bboxes
dtype: string
- name: areas
sequence: int32
- name: polygons
dtype: string
splits:
- name: train
num_bytes: 1191970
num_examples: 1
download_size: 1191970
dataset_size: 1191970
configs:
- config_name: default
data_files:
- split: train
path: '*.parquet'
task_categories:
- image-segmentation
- object-detection
license: cc-by-4.0
pretty_name: blender_dataset
size_categories:
- n<1K
tags:
- blender
- synthetic
- segmentation
blender_dataset
Synthetic segmentation dataset generated with Blender.
Categories
cube
Usage
from datasets import load_dataset
# Load from local folder
ds = load_dataset("parquet", data_files="*.parquet")
# Or after uploading to HuggingFace
ds = load_dataset("YOUR_USERNAME/blender_dataset")
# Access a sample
sample = ds['train'][0]
sample['image'].show() # View image
sample['mask'].show() # View mask