Datasets:
Tasks:
Image Segmentation
Sub-tasks:
instance-segmentation
Size Categories:
1M<n<10M
License:
cc-by-4.0
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: FileNotFoundError
Message: https://s3-us-west-2.amazonaws.com/dl.fbaipublicfiles.com/LVIS/lvis_v1_train.json.zip
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py", line 417, in _info
await _file_info(
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py", line 837, in _file_info
r.raise_for_status()
File "/src/services/worker/.venv/lib/python3.9/site-packages/aiohttp/client_reqrep.py", line 1005, in raise_for_status
raise ClientResponseError(
aiohttp.client_exceptions.ClientResponseError: 403, message='Forbidden', url=URL('https://s3-us-west-2.amazonaws.com/dl.fbaipublicfiles.com/LVIS/lvis_v1_train.json.zip')
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 263, in get_rows_or_raise
return get_rows(
File "/src/services/worker/src/worker/utils.py", line 204, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 241, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1353, in __iter__
for key, example in ex_iterable:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 207, in __iter__
yield from self.generate_examples_fn(**self.kwargs)
File "/tmp/modules-cache/datasets_modules/datasets/winvoker--lvis/c9532ceb961fcee814d78f8e65aa92b5e2b4942dfd8a45d127b46f730f1a87d8/lvis.py", line 152, in _generate_examples
if not os.path.exists(annotation_path):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/streaming.py", line 74, in wrapper
return function(*args, download_config=download_config, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 159, in xexists
fs, *_ = fsspec.get_fs_token_paths(urlpath, storage_options=storage_options)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 606, in get_fs_token_paths
fs = filesystem(protocol, **inkwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/registry.py", line 261, in filesystem
return cls(**storage_options)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 76, in __call__
obj = super().__call__(*args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/zip.py", line 58, in __init__
self.fo = fo.__enter__() # the whole instance is a context
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 102, in __enter__
f = self.fs.open(self.path, mode=mode)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 1199, in open
f = self._open(
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py", line 356, in _open
size = size or self.info(path, **kwargs)["size"]
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/asyn.py", line 115, in wrapper
return sync(self.loop, func, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/asyn.py", line 100, in sync
raise return_result
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/asyn.py", line 55, in _runner
result[0] = await coro
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py", line 430, in _info
raise FileNotFoundError(url) from exc
FileNotFoundError: https://s3-us-west-2.amazonaws.com/dl.fbaipublicfiles.com/LVIS/lvis_v1_train.json.zipNeed help to make the dataset viewer work? Open a discussion for direct support.
LVIS
Dataset Summary
This dataset is the implementation of LVIS dataset into Model Database datasets. Please visit the original website for more information.
Loading
This code returns train, validation and test generators.
from datasets import load_dataset
dataset = load_dataset("winvoker/lvis")
Objects is a dictionary which contains annotation information like bbox, class.
DatasetDict({
train: Dataset({
features: ['id', 'image', 'height', 'width', 'objects'],
num_rows: 100170
})
validation: Dataset({
features: ['id', 'image', 'height', 'width', 'objects'],
num_rows: 4809
})
test: Dataset({
features: ['id', 'image', 'height', 'width', 'objects'],
num_rows: 19822
})
})
Access Generators
train = dataset["train"]
validation = dataset["validation"]
test = dataset["test"]
An example row is as follows.
{ 'id': 0,
'image': '000000437561.jpg',
'height': 480,
'width': 640,
'objects': {
'bboxes': [[[392, 271, 14, 3]],
'classes': [117],
'segmentation': [[376, 272, 375, 270, 372, 269, 371, 269, 373, 269, 373]]
}
}
- Downloads last month
- 12