lineups-io/autotrain-data-multifamily

---
task_categories:
- image-classification

---
# AutoTrain Dataset for project: multifamily

## Dataset Description

This dataset has been automatically processed by AutoTrain for project multifamily.

### Languages

The BCP-47 code for the dataset's language is unk.

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json
[
{
"image": "<500x500 RGB PIL image>",
"target": 40
},
{
"image": "<500x500 RGB PIL image>",
"target": 34
}
]
```

### Dataset Fields

The dataset has the following fields (also called "features"):

```json
{
"image": "Image(decode=True, id=None)",
"target": "ClassLabel(names=['Balcony-Patio', 'Bathroom', 'Bedroom', 'Bike', 'Building', 'Business Center', 'Business Center Conference Room', 'Closet', 'Clubhouse', 'Clubhouse Dining Room', 'Construction', 'Dining Room', 'Dog Park', 'Fire Pit', 'Fitness Center', 'Floorplan', 'Fountain', 'Green Space', 'Grilling Area', 'Hallway', 'Headshot', 'Home Office', 'Hot Tub', 'Kitchen', 'Laundry Facility', 'Laundry Washer-Dryer', 'Leasing Office', 'Living Room', 'Living Room Fireplace', 'Logo', 'Lounge Area', 'Mail Box', 'Monument Sign', 'Neighborhood', 'Packages', 'Parking', 'Pet Washing', 'Picnic Area', 'Play Park', 'Pool', 'Pool Cabanas', 'Pool Table', 'Private Garage', 'Site-plan', 'Stock Photo', 'Tennis Court', 'View-Aerial', 'room'], id=None)"
}
```

### Dataset Splits

This dataset is split into a train and validation split. The split sizes are as follow:

| Split name | Num samples |
| ------------ | ------------------- |
| train | 681 |
| valid | 185 |

原始信息汇总

AutoTrain 项目 multifamily 的数据集

数据集描述

该数据集由 AutoTrain 自动处理，用于 multifamily 项目。

语言

数据集的语言 BCP-47 代码为 unk。

数据集结构

数据实例

数据集的一个样本如下：

json [ { "image": "<500x500 RGB PIL image>", "target": 40 }, { "image": "<500x500 RGB PIL image>", "target": 34 } ]

数据字段

数据集包含以下字段（也称为“特征”）：

json { "image": "Image(decode=True, id=None)", "target": "ClassLabel(names=[Balcony-Patio, Bathroom, Bedroom, Bike, Building, Business Center, Business Center Conference Room, Closet, Clubhouse, Clubhouse Dining Room, Construction, Dining Room, Dog Park, Fire Pit, Fitness Center, Floorplan, Fountain, Green Space, Grilling Area, Hallway, Headshot, Home Office, Hot Tub, Kitchen, Laundry Facility, Laundry Washer-Dryer, Leasing Office, Living Room, Living Room Fireplace, Logo, Lounge Area, Mail Box, Monument Sign, Neighborhood, Packages, Parking, Pet Washing, Picnic Area, Play Park, Pool, Pool Cabanas, Pool Table, Private Garage, Site-plan, Stock Photo, Tennis Court, View-Aerial, room], id=None)" }

数据集分割

该数据集分为训练集和验证集，分割大小如下：

分割名称	样本数量
train	681
valid	185