|
|
--- |
|
|
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** |
|
|
``` |
|
|
|
|
|
@misc{myersdean2024spinhierarchicalsegmentationsubpart, |
|
|
title={SPIN: Hierarchical Segmentation with Subpart Granularity in Natural Images}, |
|
|
author={Josh Myers-Dean and Jarek Reynolds and Brian Price and Yifei Fan and Danna Gurari}, |
|
|
year={2024}, |
|
|
eprint={2407.09686}, |
|
|
archivePrefix={arXiv}, |
|
|
primaryClass={cs.CV}, |
|
|
url={https://arxiv.org/abs/2407.09686}, |
|
|
} |
|
|
|
|
|
``` |
|
|
|
|
|
**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. |
|
|
``` |
|
|
|
