Jichi Medical University Diabetic Retinopathy Dataset
9,939 color fundus images from Japanese patients with DR grading labels (Davis grading scale).
At a glance
| Field | Value |
|---|---|
| Short name | jichi |
| Full name | Jichi Medical University Diabetic Retinopathy Dataset |
| First published | 2017-04-15 |
| Publication date precision | day |
| Publication date evidence | api.figshare.com/v2 |
| Publication date source field | published_date (Figshare version 1) |
| Publication date reviewed | 2026-09-11 |
| Primary category | fundus |
| Resource role | current_dataset |
| Dataset family | jichi |
| Contained modalities | fundus |
| Tasks | grading, classification |
| Primary reported quantity | 9,939 images |
| Classes | 4 (Not reported) |
| Splits | all |
| Size | 10.0 GB |
| Source-stated terms | CC BY 4.0 |
| Normalized terms | cc-by |
| Descriptive screening label | Standard label without an explicit NC clause; not a permission finding |
| Terms scope | dataset_files |
| Access friction | self_service_authenticated |
| Route backend | Figshare |
| Availability | available (checked 2026-07-21) |
| Acquisition support | end_to_end_tested |
| Legacy sample-loader status | Metadata and access only |
Reported quantities
| Role | Count | Unit | Scope | Basis | Evidence |
|---|---|---|---|---|---|
| Primary | 9,939 | images | Primary quantity reported in the reviewed catalog source | legacy_catalog_field | https://doi.org/10.6084/m9.figshare.4879853 |
Counts retain their source-reported units. Additional rows can describe components, paired items, or derivative copies and are not automatically added to the primary quantity.
Documented relationships
These links record source-supported lineage or overlap, not merely similar modality tags.
- mm_retinal_reason is
derived fromthis record: The version-pinned official dataset card lists this record among the CFP or OCT sources used to construct MM-Retinal-Reason. (evidence)
Access information and download
- CLI
- Python
# Read-only preflight
eyehub download jichi --data-dir ./data --dry-run --json
# Download, only when preflight reports supported behavior
eyehub download jichi --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('jichi')
print(preflight_dataset(ds, './data')) # no download
Upstream page: https://doi.org/10.6084/m9.figshare.4879853
Source-term evidence: https://doi.org/10.6084/m9.figshare.4879853
Loader status
This catalog record provides metadata and access instructions, but it does not yet include a standard DatasetSample loader. Inspect the source file structure or contribute a loader before using it in a training pipeline.
Citation
- BibTeX
- Plain text
@misc{jichi,
title = { Jichi Medical University Diabetic Retinopathy Dataset },
note = { Takahashi et al., 'Applying artificial intelligence to disease staging: Deep learning for improved staging of diabetic retinopathy', PLOS ONE 2017. Article: https://pmc.ncbi.nlm.nih.gov/articles/PMC5480986/ },
year = { 2017 },
url = { https://doi.org/10.6084/m9.figshare.4879853 },
}
Takahashi et al., 'Applying artificial intelligence to disease staging: Deep learning for improved staging of diabetic retinopathy', PLOS ONE 2017. Article: https://pmc.ncbi.nlm.nih.gov/articles/PMC5480986/
Source-stated terms
- Raw source string: CC BY 4.0
- Normalized category:
cc-by - Apparent scope:
dataset_files - Descriptive screening label: Standard label without an explicit NC clause; not a permission finding
⚠️ Source-stated terms, scope, and normalized labels are curation metadata, not legal advice or a permission finding. Review the current official source before transfer or reuse.
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