diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000000000000000000000000000000000000..b0c07e16d63bc797bcc6b0400bd7e0c083374564 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,722 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.lz4 filter=lfs diff=lfs merge=lfs -text +*.mds filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +# Audio files - uncompressed +*.pcm filter=lfs diff=lfs merge=lfs -text +*.sam filter=lfs diff=lfs merge=lfs -text +*.raw filter=lfs diff=lfs 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sha256:e3ac08f758ad78033cd06f1b8c33ae1ea268087b2ca104da0b0b4acf23acdb48 +size 1714249 diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..4d49cade874e56e40e7aef556b4b515b3eec0682 --- /dev/null +++ b/README.md @@ -0,0 +1,130 @@ +--- +language: +- en +license: +- cc-by-4.0 +tags: +- medical +- ophthalmology +- fundus-image +- image-segmentation +- image-classification +- diabetic-retinopathy +- lesion-segmentation +task_categories: +- image-segmentation +- image-classification +- object-detection +task_ids: +- multi-class-image-classification +- semantic-segmentation +pretty_name: DDR (Diabetic Retinopathy Detection) Dataset +size_categories: +- 10K + + + Merged Dataset Samples +
+

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](https://www.sciencedirect.com/science/article/abs/pii/S0020025519305377) +- **Source:** [Kaggle - DDR Dataset](https://www.kaggle.com/datasets/mariaherrerot/ddrdataset) +- **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 + +```python +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. diff --git a/lesion_detection/test/007-1789-100.xml b/lesion_detection/test/007-1789-100.xml new file mode 100644 index 0000000000000000000000000000000000000000..2b7ecb4ce271214824ea70fec84d6aea71b73e02 --- /dev/null +++ b/lesion_detection/test/007-1789-100.xml @@ -0,0 +1,33 @@ + + OurDataset + 007-1789-100.jpg + + 1956 + 1934 + 3 + + + ex + Unspecified + 0 + 0 + + 1126 + 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