Datasets:
Tasks:
Image Classification
Modalities:
Image
Sub-tasks:
multi-class-image-classification
Languages:
English
Size:
10K<n<100K
License:
| language: | |
| - en | |
| license: other # Usage restricted under Kaggle & EyePACS terms, not standard open license | |
| tags: | |
| - medical | |
| - ophthalmology | |
| - fundus-image | |
| - image-classification | |
| - diabetic-retinopathy | |
| - dr-grading | |
| - large-scale-dataset | |
| task_categories: | |
| - image-classification | |
| task_ids: | |
| - multi-class-image-classification # 5 severity grades (0-4) | |
| pretty_name: EyePACS (Diabetic Retinopathy Fundus Image Dataset) | |
| size_categories: | |
| - 10K<n<100K # ~88,702 images total | |
| annotations_creators: | |
| - expert-generated | |
| source_datasets: | |
| - original | |
| source_data_urls: | |
| - https://www.kaggle.com/c/diabetic-retinopathy-detection/data | |
| - https://www.eyepacs.com/data-analysis | |
| # EyePACS — Diabetic Retinopathy Fundus Image Dataset | |
| <table align="center"> | |
| <tr> | |
| <td width="100%" align="center"> | |
| <img src="rm_images/Merged_Fundus_Images_with_Caption.jpg" alt="Merged Dataset Samples" style="max-width: 100%; height: auto;"> | |
| <br> | |
| <p><strong>Image:</strong> EYEPACS Preprocess Samples.</p> | |
| </td> | |
| </tr> | |
| </table> | |
| --- | |
| ## 📘 Overview | |
| **EyePACS** (Eye Picture Archive Communication System) is a large-scale collection of **retinal fundus images** used for **automated diabetic retinopathy (DR) detection**. | |
| It formed the basis of the **Kaggle Diabetic Retinopathy Detection** challenge, enabling research into DR classification and screening. | |
| The dataset includes **macula-centered color fundus images** from real-world clinical screenings under varied imaging conditions. | |
| --- | |
| ## 📊 Dataset Summary | |
| | Field | Details | | |
| |--------|----------| | |
| | **Task** | Diabetic retinopathy classification (5 severity grades) | | |
| | **Description** | High-resolution color fundus photographs from EyePACS DR screening program. Each image labeled by ophthalmologists using the ICDR scale. | | |
| | **Size** | ~88,702 images total (≈35k labeled for training, ≈53k unlabeled for testing) | | |
| | **Classes** | 0 = No DR, 1 = Mild, 2 = Moderate, 3 = Severe, 4 = Proliferative DR | | |
| | **Image Type** | Macula-centered color fundus photos (640×480 to 5184×3456 px) | | |
| | **Source** | EyePACS (USA) via Kaggle Diabetic Retinopathy Detection Challenge (2015) | | |
| | **Access** | [Kaggle Dataset](https://www.kaggle.com/c/diabetic-retinopathy-detection/data) | | |
| | **License** | Usage restricted under Kaggle & EyePACS terms | | |
| --- | |
| ## 🧱 Dataset Structure | |
| ```test | |
| eyepacs/ | |
| ├── images/ | |
| │ ├── train/ | |
| │ │ ├── 00001_left.jpg | |
| │ │ ├── 00001_right.jpg | |
| │ └── test/ | |
| ├── labels.csv # image_id, eye(L/R), dr_grade (0–4) | |
| ├── README.md | |
| └── LICENSE.txt | |
| ``` | |
| --- | |
| ## 🧩 Label Details | |
| - Labels follow the **International Clinical Diabetic Retinopathy (ICDR)** grading system. | |
| - **Class imbalance** is significant — most images show no DR. | |
| - Labels were assigned by certified ophthalmologists; minor label noise may exist. | |
| --- | |
| ## ⚙️ Preprocessing Recommendations | |
| - Crop to the circular fundus region and remove borders | |
| - Resize to consistent resolution (e.g. 1024×1024) | |
| - Normalize illumination and contrast | |
| - Exclude blurred or ungradable images | |
| --- | |
| ## 💡 Research Applications | |
| - DR detection and severity classification | |
| - Automated retinal screening systems | |
| - Transfer learning and robustness testing across imaging conditions | |
| - Comparative studies with datasets like MESSIDOR, DDR, and APTOS | |
| --- | |
| ## ⚠️ Notes & Limitations | |
| - Significant **class imbalance** (majority = No DR) | |
| - Variations in **camera type, exposure, and focus** | |
| - Some **label noise** and **ungradable images** present | |
| - Redistribution may be **restricted** — verify Kaggle/EyePACS terms before publishing images | |
| --- | |
| ## 📄 Citation | |
| If you use the dataset, cite: | |
| > Kaggle and EyePACS. *“Diabetic Retinopathy Detection.”* Kaggle Competition, 2015. | |
| > [https://www.kaggle.com/c/diabetic-retinopathy-detection](https://www.kaggle.com/c/diabetic-retinopathy-detection) | |
| --- | |
| ## 🔗 References | |
| - EyePACS Official Data Page — [https://www.eyepacs.com/data-analysis](https://www.eyepacs.com/data-analysis) | |
| - Kaggle: *Diabetic Retinopathy Detection* — [https://www.kaggle.com/c/diabetic-retinopathy-detection](https://www.kaggle.com/c/diabetic-retinopathy-detection) | |
| - Research overview: *Transfer Learning Based Classification of Diabetic Retinopathy on the Kaggle EyePACS Dataset*, ResearchGate, 2021. | |
| --- |