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minhanhto09
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NuCLS_dataset

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computer vision

image detection

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minhanhto09 commited on Jul 13

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@@ -128,11 +128,11 @@ Note that the debug configuration utilizes these particular folds `train_fold_99
 This dataset is suitable for various computer vision tasks, including image classification, detection, and segmentation. [This document](https://colab.research.google.com/drive/1d5gEliz8IH06k52OWNWTVDejjKRRqW97?usp=sharing) presents several exploratory data analysis (EDA) techniques, along with an illustrative example of an image detection task. In this example, I presented a model capable of predicting the bounding boxes and class labels for all nuclei within a single image with relatively good accuracy.
-Below are the prediction results from a customized deep learning model based on the YOLOv8 model.
-![](https://huggingface.co/datasets/minhanhto09/NuCLS_dataset/blob/main/Images/fig4.png)
-![](https://huggingface.co/datasets/minhanhto09/NuCLS_dataset/blob/main/Images/fig5.png)
 ## Licensing

 This dataset is suitable for various computer vision tasks, including image classification, detection, and segmentation. [This document](https://colab.research.google.com/drive/1d5gEliz8IH06k52OWNWTVDejjKRRqW97?usp=sharing) presents several exploratory data analysis (EDA) techniques, along with an illustrative example of an image detection task. In this example, I presented a model capable of predicting the bounding boxes and class labels for all nuclei within a single image with relatively good accuracy.
+Below are the prediction results from a customized deep-learning model based on the YOLOv8 model.
+![](https://huggingface.co/datasets/minhanhto09/NuCLS_dataset/resolve/main/Images/fig4.png)
+![](https://huggingface.co/datasets/minhanhto09/NuCLS_dataset/resolve/main/Images/fig5.png)
 ## Licensing