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--- |
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license: cc-by-4.0 |
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task_categories: |
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- object-detection |
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extra_gated_prompt: "The dataset is protected under the CC-BY license of Creative Commons, which allows users to distribute, remix, adapt, and build upon the material in any medium or format, as long as the creator is attributed. The license allows MAVREC for commercial use. As the authors of this manuscript and collectors of this dataset, we reserve the right to distribute the data." |
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extra_gated_fields: |
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Full Name: text |
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Country: country |
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type: select |
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options: |
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- Research |
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- Education |
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- label: Other |
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value: other |
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extra_gated_button_content: "Acknowledge license" |
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--- |
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# MAVREC: Multiview Aerial Visual Recognition |
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## Overview |
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MAVREC (Multiview Aerial Visual Recognition) is a comprehensive dataset that aims to enhance aerial visual perception through multi-view data integration, featuring synchronized scenes from ground and drone-mounted cameras and is designed to improve object detection models by providing a diverse set of aerial and ground-view images captured in various European landscapes. |
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**MAVREC got accepted in CVPR 2024 🔥🔥** |
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<img src="cvpr_poster.png" width="1000"> |
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## Dataset |
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The MAVREC dataset includes approximately 2.5 hours of high-quality 2.7K video, over 0.5 million frames, and 1.1 million annotated bounding boxes, making it a substantial resource for advancing aerial object detection technologies. |
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The creation of MAVREC was led by Principal Investigators Dr. Aritra Dutta (University of Central Florida) and Dr. Srijan Das (University of North Carolina at Charlotte). For more details, see our [paper](https://mavrec.github.io/src/Dutta_Multiview_Aerial_Visual_RECognition_MAVREC_Can_Multi-view_Improve_Aerial_Visual_CVPR_2024_paper.pdf). |
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## Download |
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After requesting for access, you will find the link to download the dataset under ``ACCESS_INSTRUCTIONS.md``. |
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### Dataset Preview |
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### Training |
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Refer to our [code](https://github.com/MAVREC/mavrec-code) for more information regarding training. |
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### Citation |
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``` |
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@InProceedings{Dutta_2024_CVPR, |
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author = {Dutta, Aritra and Das, Srijan and Nielsen, Jacob and Chakraborty, Rajatsubhra and Shah, Mubarak}, |
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title = {Multiview Aerial Visual RECognition (MAVREC): Can Multi-view Improve Aerial Visual Perception?}, |
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booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, |
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month = {June}, |
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year = {2024}, |
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pages = {22678-22690} |
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} |
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``` |
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### Usage LICENSE : |
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The dataset is protected under the CC-BY license of Creative Commons, which allows users to distribute, remix, adapt, and build upon the material in any medium or format, as long as the creator is attributed. The license allows MAVREC for commercial use. As the authors of this manuscript and collectors of this dataset, we reserve the right to distribute the data. |
