CoolFace
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lineups-io/autotrain-data-multifamily

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: [ { "image": "<500x500 RGB PIL image>", "target": 40 }, { "image": "<500x500 RGB PIL image>", "target": 34 } ]… See the full description on the dataset page: https://huggingface.co/datasets/lineups-io/autotrain-data-multifamily.

sourceHugging Faceupdated 4y agoView on Hugging Face
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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 nameNum samples
train681
valid185