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--- |
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license: mit |
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pipeline_tag: object-detection |
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tags: |
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- yolov8 |
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- remote sensing |
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- aerial imagery |
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- beaver |
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- object detection |
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--- |
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# This is a yolov8 based object detection model for beaver dams and lodges from aerial imagery |
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This is a semi-serious side-project to detect beaver dams and lodges from aerial imagery. |
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Beavers are expanding into Arctic regions, which can be even observed indirectly from space. |
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With very-high resolution data from UAV or airborne missions, we can try to map dams and lodges directly. |
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#### More cool information on beaver expansion into the Arctic: |
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* Tape, K. D., Clark, J. A., Jones, B. M., Kantner, S., Gaglioti, B. V., Grosse, G., & Nitze, I. (2022). Expanding beaver pond distribution in Arctic Alaska, 1949 to 2019. Scientific Reports, 12(1), 7123. https://doi.org/10.1038/s41598-022-09330-6 |
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* Jones, B. M., Tape, K. D., Clark, J. A., Nitze, I., Grosse, G., & Disbrow, J. (2020). Increase in beaver dams controls surface water and thermokarst dynamics in an Arctic tundra region, Baldwin Peninsula, northwestern Alaska. Environmental Research Letters, 15(7), 075005. https://doi.org/10.1088/1748-9326/ab80f1 |
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* Tape, K. D., Jones, B. M., Arp, C. D., Nitze, I., & Grosse, G. (2018). Tundra be dammed: Beaver colonization of the Arctic. Global Change Biology, 24(10), 4478–4488. https://doi.org/10.1111/gcb.14332 |
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## Info |
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- Model file in pytorch format for ultralytics yolov8 |
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- bounding boxes of beaver dams and lodges |
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- trained on aerial imagery from West and Northwest Alaska |
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- More info: https://essd.copernicus.org/preprints/essd-2023-193/ |
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- This model takes RGB aerial images in high spatial resolution, suhc as UAV or airborne imagery. It was trained on images from tundra regions in NW Alaska. |
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- Target objects were hand labelled with roboflow --> https://app.roboflow.com/awi-response/beaver-finder-vhr-imagery-a9hg9/ |
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## Related Code |
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### github |
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https://github.com/initze/yolov8_object_detection/ |
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### Input data |
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RGB images |
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### Known and potential issues |
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- false positives for curved shore areas |
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## Classes |
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1: beaver dam |
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2: beaver lodge |
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3: building (not great) |
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## Input data |
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## Examples |
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### The good ones |
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### The bad ones |
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