PD-REAL

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# The PD-REAL Dataset
This repo. contains our dataset, PD-REAL, for 3D anomaly detection.

![image text](https://raw.githubusercontent.com/Andy-cs008/PD-REAL/main/Overview.png)

The PD-REAL dataset consists of over 3,500 high-resolution RGB images and the corresponding depth images and point clouds with 15 object categories, which can be grouped as follows:

Food: *chicken, cookie, bread, sushi, pizza*     
Vegetables: *cabbage, radish*      
Fruits: *banana, strawberry*     
Toys: *car, airplane, train, bicycle, plaid, crab*

All the objects in PD-REAL are made of Play-Doh models, with 6 types of mannualy introduced anomaly types: *dent, crack, perforation, scratch, combine-S, combine-D*.

Additional visualizations of the PD-REAL dataset across various categories are provided below.

![image text](https://raw.githubusercontent.com/Andy-cs008/PD-REAL/main/Visualization_1.png)
 
![image text](https://raw.githubusercontent.com/Andy-cs008/PD-REAL/main/Visualization_2.png)
 
![image text](https://raw.githubusercontent.com/Andy-cs008/PD-REAL/main/Visualization_3.png)

Please access the PD-REAL dataset from the following link: https://drive.google.com/file/d/1EBapy9BGnwmZJ9Rxh0uTF-Xii9FU0YCG/view?usp=sharing

PD-REAL

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