Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowInvalid
Message: Schema at index 1 was different:
model: string
classes: list<item: string>
img_size: int64
map50: double
map: double
training_settings: struct<epochs: int64, amp: bool, cache: bool, augmentations: string>
vs
encoder: string
architecture: string
classes: int64
img_size: int64
room_classes: list<item: string>
best_miou: double
task: string
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3496, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
return next(iter(self.iter(batch_size=n)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
for key, example in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 563, in _iter_arrow
yield new_key, pa.Table.from_batches(chunks_buffer)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Schema at index 1 was different:
model: string
classes: list<item: string>
img_size: int64
map50: double
map: double
training_settings: struct<epochs: int64, amp: bool, cache: bool, augmentations: string>
vs
encoder: string
architecture: string
classes: int64
img_size: int64
room_classes: list<item: string>
best_miou: double
task: stringNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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Check out the documentation for more information.
Wall Segmentation Model (U-Net++)
Binary segmentation model for detecting walls in floor plans.
Model Details
- Architecture: U-Net++ with EfficientNet-B0 encoder
- Input Size: 512x512
- Dataset: CubiCasa5K
- Best IoU: 0.7430
Usage
import torch
import segmentation_models_pytorch as smp
from huggingface_hub import hf_hub_download
# Download model
model_path = hf_hub_download(
repo_id="YOUR_USERNAME/wall-segmentation",
filename="wall_unet_best.pt"
)
# Load model
model = smp.UnetPlusPlus(
encoder_name="efficientnet-b0",
encoder_weights=None,
in_channels=3,
classes=1,
)
model.load_state_dict(torch.load(model_path))
model.eval()
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