Datasets:
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README.md
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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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# 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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* **Classification:** Identifying the type of damage.
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| 114 |
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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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| 118 |
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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.
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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
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