Datasets:
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
10K - 100K
Tags:
medical
ophthalmology
fundus-image
image-segmentation
image-classification
diabetic-retinopathy
License:
Search is not available for this dataset
The dataset viewer is not available for this split.
The info cannot be fetched for the config 'default' of the dataset.
Error code: InfoError
Exception: ReadTimeout
Message: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: 3eb2e64f-2566-4e64-9845-e559cf57880b)')
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 223, in compute_first_rows_from_streaming_response
info = get_dataset_config_info(path=dataset, config_name=config, token=hf_token)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 268, in get_dataset_config_info
builder = load_dataset_builder(
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1132, in load_dataset_builder
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1031, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1004, in dataset_module_factory
).get_module()
^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 632, in get_module
data_files = DataFilesDict.from_patterns(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/data_files.py", line 689, in from_patterns
else DataFilesList.from_patterns(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/data_files.py", line 592, in from_patterns
origin_metadata = _get_origin_metadata(data_files, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/data_files.py", line 506, in _get_origin_metadata
return thread_map(
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/tqdm/contrib/concurrent.py", line 69, in thread_map
return _executor_map(ThreadPoolExecutor, fn, *iterables, **tqdm_kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/tqdm/contrib/concurrent.py", line 51, in _executor_map
return list(tqdm_class(ex.map(fn, *iterables, chunksize=chunksize), **kwargs))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/tqdm/std.py", line 1169, in __iter__
for obj in iterable:
^^^^^^^^
File "/usr/local/lib/python3.12/concurrent/futures/_base.py", line 619, in result_iterator
yield _result_or_cancel(fs.pop())
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/concurrent/futures/_base.py", line 317, in _result_or_cancel
return fut.result(timeout)
^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/concurrent/futures/_base.py", line 456, in result
return self.__get_result()
^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/concurrent/futures/_base.py", line 401, in __get_result
raise self._exception
File "/usr/local/lib/python3.12/concurrent/futures/thread.py", line 59, in run
result = self.fn(*self.args, **self.kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/data_files.py", line 485, in _get_single_origin_metadata
resolved_path = fs.resolve_path(data_file)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 198, in resolve_path
repo_and_revision_exist, err = self._repo_and_revision_exist(repo_type, repo_id, revision)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 125, in _repo_and_revision_exist
self._api.repo_info(
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_api.py", line 2816, in repo_info
return method(
^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_api.py", line 2673, in dataset_info
r = get_session().get(path, headers=headers, timeout=timeout, params=params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/requests/sessions.py", line 602, in get
return self.request("GET", url, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/requests/sessions.py", line 589, in request
resp = self.send(prep, **send_kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/requests/sessions.py", line 703, in send
r = adapter.send(request, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_http.py", line 96, in send
return super().send(request, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/requests/adapters.py", line 690, in send
raise ReadTimeout(e, request=request)
requests.exceptions.ReadTimeout: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: 3eb2e64f-2566-4e64-9845-e559cf57880b)')Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
DDR - Diabetic Retinopathy Detection Dataset
Image: Dataset Samples. |
The DDR (Diabetic Retinopathy Detection) dataset is a large-scale collection of retinal fundus images designed for training and evaluating algorithms in diabetic retinopathy (DR) grading and lesion-level segmentation. It provides both image-level DR labels and pixel-level annotations of pathological features, making it suitable for classification and segmentation tasks.
Dataset Overview
- Full Name: Diabetic Retinopathy Detection and Segmentation Dataset (DDR)
- Authors: Yuhao Zhang, Mingxia Liu, Qianni Zhang, et al.
- Associated Paper:
Diabetic Retinopathy Lesion Segmentation Method Based on Multi-Scale Attention and Lesion Perception
Published in Information Sciences, Volume 501, 2019.
ScienceDirect Link - Source: Kaggle - DDR Dataset
- Institution: Chinese Academy of Sciences, Beijing, China
- License: CC BY 4.0
Dataset Structure
🧩 Categories
The dataset includes five DR severity levels, labeled according to the International Clinical Diabetic Retinopathy (ICDR) scale:
| Label | Description |
|---|---|
| 0 | No Diabetic Retinopathy |
| 1 | Mild Nonproliferative DR |
| 2 | Moderate Nonproliferative DR |
| 3 | Severe Nonproliferative DR |
| 4 | Proliferative DR |
Additionally, lesion masks are provided for:
- Microaneurysms
- Hemorrhages
- Hard exudates
- Soft exudates
Data Summary
| Split | # Images | Annotation Type | Image Resolution |
|---|---|---|---|
| Train | ~9,000 | Image-level + lesion masks | 3216×2136 px (avg.) |
| Test | ~1,000 | Image-level + lesion masks | 3216×2136 px (avg.) |
Total: ~10,000 color fundus images collected from multiple clinical sites in China.
Applications
- Diabetic Retinopathy Classification
- Lesion Segmentation and Detection
- Multi-scale Attention and Lesion-Aware Learning
- Retinal Disease Screening Benchmarking
Example Usage
from datasets import load_dataset
dataset = load_dataset("your-username/ddr-dataset")
example = dataset["train"][0]
image = example["image"]
mask = example["segmentation_mask"]
Citation
If you use this dataset, please cite:
Zhang Y, Liu M, Zhang Q, et al. Diabetic Retinopathy Lesion Segmentation Method Based on Multi-Scale Attention and Lesion Perception. Information Sciences, 2019; 501: 511–522. DOI: 10.1016/j.ins.2019.06.016
Acknowledgements
This dataset was originally collected and published by the Chinese Academy of Sciences and released for research use under a CC BY 4.0 license. Kaggle rehosting by Mariah Herrero.
- Downloads last month
- 252