Datasets:
metadata
dataset_info:
features:
- name: image_id
dtype: int64
- name: image
dtype: image
- name: width
dtype: int32
- name: height
dtype: int32
- name: file_name
dtype: string
- name: annotations
struct:
- name: id
list: int64
- name: image_id
list: int64
- name: category_id
list:
class_label:
names:
'0': Quadruped Head
'1': Quadruped Body
'2': Quadruped Foot
'3': Quadruped Tail
'4': Biped Head
'5': Biped Body
'6': Biped Arm
'7': Biped Leg
'8': Biped Tail
'9': Fish Head
'10': Fish Body
'11': Fish Fin
'12': Fish Tail
'13': Bird Head
'14': Bird Body
'15': Bird Wing
'16': Bird Foot
'17': Bird Tail
'18': Snake Head
'19': Snake Body
'20': Reptile Head
'21': Reptile Body
'22': Reptile Foot
'23': Reptile Tail
'24': Car Body
'25': Car Tire
'26': Car Side Mirror
'27': Bicycle Body
'28': Bicycle Head
'29': Bicycle Seat
'30': Bicycle Tire
'31': Boat Body
'32': Boat Sail
'33': Aeroplane Head
'34': Aeroplane Body
'35': Aeroplane Engine
'36': Aeroplane Wing
'37': Aeroplane Tail
'38': Bottle Mouth
'39': Bottle Body
- name: category_name
list: string
- name: area
list: float32
- name: bbox
list:
list: float32
length: 4
- name: iscrowd
list: int8
- name: segmentation
list:
list: string
splits:
- name: train
num_bytes: 1084245428
num_examples: 8828
- name: val
num_bytes: 63772194
num_examples: 519
- name: test
num_bytes: 121295570
num_examples: 1040
download_size: 1256961967
dataset_size: 1269313192
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: val
path: data/val-*
- split: test
path: data/test-*
task_categories:
- image-segmentation
pretty_name: d
Dataset Card: PartInventory
Summary
PartInventory is a fine-grained hierarchical instance-segmentation dataset derived from SPIN (built on PartImageNet). It provides detailed part annotations and serves as a proof of concept for exploring new annotation workflows and more efficient storage formats for large-scale instance segmentation.
Citation
Please cite SPIN and PartImageNet:
SPIN
@InProceedings{Myers-Dean_2024_ECCV,
author = {Myers-Dean, Josh and Reynolds, Jarek and Price, Brian and Fan, Yifei and Gurari, Danna},
title = {SPIN: Hierarchical Segmentation with Subpart Granularity in Natural Images},
booktitle = {European Conference on Computer Vision},
year = {2024},
}
PartImageNet
@article{he2021partimagenet,
title={PartImageNet: A Large, High-Quality Dataset of Parts},
author={He, Ju and Yang, Shuo and Yang, Shaokang and Kortylewski, Adam and Yuan, Xiaoding and Chen, Jie-Neng and Liu, Shuai and Yang, Cheng and Yuille, Alan},
journal={arXiv preprint arXiv:2112.00933},
year={2021}
}
Description
PartInventory refines SPIN annotations with more granular labels and updated hierarchies. It is intended to support research on part-level segmentation, hierarchical understanding, and efficient dataset representations (e.g., Parquet/Arrow).
This release is an early, proof-of-concept version. Further expansions are planned.