Datasetpublic

Cybernaut101/floorplan_dataset_images_10000_simple_labels

rPlan Floorplan Dataset (32x32) Floorplan images from the rPlan dataset, resized to 32x32 pixels. Stored as compressed Parquet with numpy arrays for efficient loading. Dataset Format Each sample contains: id: Image identifier (string) room_labels: 32x32 uint8 numpy array - basic room types (13 unique classes) interior_mask: 32x32 uint8 numpy array - interior/exterior mask (255 = interior, 0 = exterior) Room Color Mapping (13 Classes) Class… See the full description on the dataset page: https://huggingface.co/datasets/Cybernaut101/floorplan_dataset_images_10000_simple_labels.

sourceHugging Faceotherupdated 8mo agoView on Hugging Face

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Dataset Card

rPlan Floorplan Dataset (32x32)

Floorplan images from the rPlan dataset, resized to 32x32 pixels. Stored as compressed Parquet with numpy arrays for efficient loading.

Dataset Format

Each sample contains:

—id: Image identifier (string)
—room_labels: 32x32 uint8 numpy array - basic room types (13 unique classes)
—interior_mask: 32x32 uint8 numpy array - interior/exterior mask (255 = interior, 0 = exterior)

Room Color Mapping (13 Classes)

Class ID	Color Value	Class Name
0	0	Living Room
1	21	Master Room
2	42	Kitchen
3	63	Bathroom
4	85	Dining Room
5	106	Child Room
6	127	Study Room
7	148	Second Room
8	170	Guest Room
9	191	Balcony
10	212	Entrance
11	233	Storage
12	255	External Area

Usage

python

from datasets import load_dataset
import numpy as np

# Load the dataset
ds = load_dataset("Cybernaut101/floorplan_dataset_images_10000_simple_labels")

# Access a sample
sample = ds["train"][0]
room_labels = np.array(sample["room_labels"])  # 32x32 uint8
interior_mask = np.array(sample["interior_mask"])    # 32x32 uint8

# Iterate over the dataset
for sample in ds["train"]:
    room_labels = np.array(sample["room_labels"])
    interior_mask = np.array(sample["interior_mask"])
    # ... your processing here

# Color value -> class name mapping
ROOM_COLOR_MAP = {
    0: "living room",
    21: "master room",
    42: "kitchen",
    63: "bathroom",
    85: "dining room",
    106: "child room",
    127: "study room",
    148: "second room",
    170: "guest room",
    191: "balcony",
    212: "entrance",
    233: "storage",
    255: "external area",
}

License

Please refer to the original rPlan dataset license for usage terms.