chanelcolgate/tumorsbrain
收藏Hugging Face2023-08-21 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/chanelcolgate/tumorsbrain
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资源简介:
---
dataset_info:
features:
- name: image
dtype: image
- name: image_id
dtype: int64
- name: objects
sequence:
- name: id
dtype: int64
- name: area
dtype: float64
- name: bbox
sequence: float32
length: 4
- name: label
dtype:
class_label:
names:
'0': negative
'1': positive
- name: iscrowd
dtype: bool
splits:
- name: train
num_bytes: 11482275
num_examples: 893
- name: test
num_bytes: 2794404
num_examples: 223
download_size: 12628405
dataset_size: 14276679
---
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
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### Citation Information
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### Contributions
[More Information Needed]
提供机构:
chanelcolgate
原始信息汇总
数据集信息
特征
- image: 图像数据
- image_id: 图像ID,数据类型为int64
- objects: 对象序列,包含以下字段:
- id: 对象ID,数据类型为int64
- area: 对象面积,数据类型为float64
- bbox: 边界框,数据类型为float32,长度为4
- label: 标签,数据类型为class_label,包含以下类别:
- 0: negative
- 1: positive
- iscrowd: 是否为人群,数据类型为bool
数据分割
- train: 训练集,包含893个样本,大小为11482275字节
- test: 测试集,包含223个样本,大小为2794404字节
数据集大小
- 下载大小: 12628405字节
- 数据集大小: 14276679字节



