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@@ -109,21 +109,36 @@ Near-duplicate images were explicitly removed to prevent data leakage.
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  ### Uses
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  The dataset provides **comprehensive annotations for multiple computer vision tasks**, including:
 
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  * **Classification:** Identifying the type of damage.
 
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  * **Object Detection:** Locating the damaged regions with bounding boxes.
 
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  * **Instance Segmentation:** Precisely outlining the damaged areas with pixel-level masks.
 
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  * **Salient Object Detection (SOD):** Identifying the damaged regions as salient objects through binary maps.
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  CarDD presents several **challenges** for model development due to the nature of car damage:
 
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  * **Fine-grained distinctions** between damage types like dents and scratches.
 
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  * **Diversity in object scales and shapes** of the damages.
 
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  * A **significant proportion of small objects**, particularly for dent, scratch, and crack categories.
 
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  * The fact that damages like **dent, scratch, and crack can be intertwined and visually similar**.
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  #### Availability
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- The CarDD dataset is **publicly available** at https://cardd-ustc.github.io. However, access requires agreeing to the license terms of Flickr and Shutterstock, as the dataset does not own the copyright of the images. The dataset is intended for non-commercial research and educational purposes. Measures were taken to protect user privacy by mosaicking or deleting faces and license plates.
 
 
 
 
 
 
 
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  # Citation
 
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  ### Uses
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  The dataset provides **comprehensive annotations for multiple computer vision tasks**, including:
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+
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  * **Classification:** Identifying the type of damage.
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+
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  * **Object Detection:** Locating the damaged regions with bounding boxes.
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+
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  * **Instance Segmentation:** Precisely outlining the damaged areas with pixel-level masks.
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+
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  * **Salient Object Detection (SOD):** Identifying the damaged regions as salient objects through binary maps.
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  CarDD presents several **challenges** for model development due to the nature of car damage:
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  * **Fine-grained distinctions** between damage types like dents and scratches.
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+
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  * **Diversity in object scales and shapes** of the damages.
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+
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  * A **significant proportion of small objects**, particularly for dent, scratch, and crack categories.
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+
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  * The fact that damages like **dent, scratch, and crack can be intertwined and visually similar**.
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  #### Availability
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+ The CarDD dataset is **publicly available** at https://cardd-ustc.github.io.
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+ However, access requires agreeing to the license terms of Flickr and Shutterstock, as the dataset does not own the copyright of the images.
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+ The dataset is intended for non-commercial research and educational purposes.
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+ Measures were taken to protect user privacy by mosaicking or deleting faces and license plates.
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  # Citation