chanelcolgate/brain-tumors-object-detection-datasets

---
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: 222568
num_examples: 893
- name: test
num_bytes: 55697
num_examples: 223
download_size: 12896319
dataset_size: 278265
---

# 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]

### Licensing Information

[More Information Needed]

### Citation Information

[More Information Needed]

### Contributions

[More Information Needed]

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: 包含以下子字段
  • id: 对象ID，数据类型为int64
  • area: 对象面积，数据类型为float64
  • bbox: 对象边界框，数据类型为float32，长度为4
  • label: 对象标签，包含以下类别
    • 0: negative
    • 1: positive
  • iscrowd: 是否为拥挤对象，数据类型为bool

数据分割

• train: 训练集，包含893个样本，大小为222568字节
• test: 测试集，包含223个样本，大小为55697字节

数据集大小

• 下载大小: 12896319字节
• 数据集大小: 278265字节