Breast Cancer Wisconsin (Diagnostic) Data Set

Predict whether the cancer is benign or malignant

Here is link of dataset: Link

🔷 Number of instances: 569
🔷 Number of attributes: 32 (ID, diagnosis, 30 real-valued input features)
🔷 Ten real-valued features are computed for each cell nucleus:

a) radius (mean of distances from center to points on the perimeter)
b) texture (standard deviation of gray-scale values)
c) perimeter
d) area
e) smoothness (local variation in radius lengths)
f) compactness (perimeter^2 / area - 1.0)
g) concavity (severity of concave portions of the contour)
h) concave points (number of concave portions of the contour)
i) symmetry
j) fractal dimension ("coastline approximation" - 1)


#dataset
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✅ LISA: Reasoning Segmentation via Large Language Model

New segmentation task -- reasoning segmentation. The task is designed to output a segmentation mask given a complex and implicit query text.


🖥 Github: https://github.com/dvlab-research/lisa

📕 Paper: https://arxiv.org/abs/2308.00692v2

☑️ Dataset: https://github.com/dvlab-research/lisa#dataset

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