Guntakin/floorplan_dataset_images_10000_simple_labels

rPlan Floorplan Dataset (16x16)

Floorplan images from the rPlan dataset, resized to 16x16 pixels. Stored as compressed Parquet with numpy arrays for efficient loading.

Dataset Format

Each sample contains:

• id: Image identifier (string)
• room_labels: 16x16 uint8 numpy array - semantic room labels for residential spaces such as living room, kitchen, bathroom, bedroom, home office, accessible bathroom, winter garden, etc.
• interior_mask: 16x16 uint8 numpy array - interior/exterior mask (255 = interior, 0 = exterior)

Room Color Mapping (25 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
13	10	Laundry Room
14	30	Garage
15	50	Hallway
16	70	Pantry
17	90	Walk-in Closet
18	110	Utility Room
19	130	Home Office
20	150	Family Room
21	175	Play Room
22	200	Powder Room
23	220	Mechanical Room
24	240	Gym

Usage

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"])  # 16x16 uint8
interior_mask = np.array(sample["interior_mask"])    # 16x16 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",
    10: "laundry room",
    30: "garage",
    50: "hallway",
    70: "pantry",
    90: "walk-in closet",
    110: "utility room",
    130: "home office",
    150: "family room",
    175: "playroom",
    200: "powder room",
    220: "mechanical room",
    240: "accessible bathroom",
}

License

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