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+ # FishEye8K: Dataset for Fisheye Camera Object Detection
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+ **Authors:**
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+ [Munkhjargal Gochoo](https://github.com/moyog/), [Munkh-Erdene Otgonbold](https://github.com/omunkhuush/), [Erkhembayar Ganbold](https://github.com/Erkheme98), Ming-Ching Chang, [Ping-Yang Chen](https://github.com/pingyang1117), Byambaa Dorj, Hamad Al Jassmi, [Ganzorig Batnasan](https://github.com/ganzob/), Fady Alnajjar, Mohammed Abduljabbar, Fang-Pang Lin, Jun-Wei Hsieh
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+
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+ <p align="center" width="100%">
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+ <img width="100%" src="https://github.com/MoyoG/FishEye8K/assets/10125947/5e53c3bb-3bde-48fe-a287-327c05da08ce">
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+ </p>
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+
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+ The dataset consists of 8,000 annotated images with 157K bounding boxes of five object classes. The figure displays sample images from each of the 18 cameras with wide-angle fisheye views. These cameras offer new possibilities for extensive coverage.
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+
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+ **Classes (Color)**
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+ - ![#FF3333](https://placehold.co/15x15/FF3333/FF3333.png) Bus
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+ - ![#3358FF](https://placehold.co/15x15/3358FF/3358FF.png) - Bike
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+ - ![#33FF33](https://placehold.co/15x15/33FF33/33FF33.png) - Car
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+ - ![#F6FF33](https://placehold.co/15x15/F6FF33/F6FF33.png) - Pedestrian
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+ - ![#9F33FF](https://placehold.co/15x15/9F33FF/9F33FF.png) - Truck
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+
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+ # Citation
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+ ```
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+ @InProceedings{Gochoo_2023_CVPR,
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+ author = {Gochoo, Munkhjargal and Otgonbold, Munkh-Erdene and Ganbold, Erkhembayar and Hsieh, Jun-Wei and Chang, Ming-Ching and Chen, Ping-Yang and Dorj, Byambaa and Al Jassmi, Hamad and Batnasan, Ganzorig and Alnajjar, Fady and Abduljabbar, Mohammed and Lin, Fang-Pang},
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+ title = {FishEye8K: A Benchmark and Dataset for Fisheye Camera Object Detection},
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+ booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
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+ month = {June},
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+ year = {2023},
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+ pages = {5304-5312}
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+ }
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+ ```