Update README.md

README.md

@@ -1,42 +1,18 @@
 ---
 license: mit
-pipeline_tag: object-detection
+pipeline_tag: image-segmentation
 tags:
-- yolov8
 - remote sensing
-- aerial imagery
-- beaver
-- object detection
+- segmentation
+- permafrost
+- retrogressive thaw slumps
 ---
 # This is a yolov8 based object detection model for beaver dams and lodges from aerial imagery
-This is a semi-serious side-project to detect beaver dams and lodges from aerial imagery. 
-Beavers are expanding into Arctic regions, which can be even observed indirectly from space. 
-With very-high resolution data from UAV or airborne missions, we can try to map dams and lodges directly.
-
-#### More cool information on beaver expansion into the Arctic:
-* 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
-* 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
-* 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
-
 
 ## General Info
-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.
-
-Target objects were hand labelled with roboflow --> https://app.roboflow.com/awi-response/beaver-finder-vhr-imagery-a9hg9/
 
 ## Classes
-1: beaver dam
-2: beaver lodge
-3: building (not great)
+1: retrogressive thaw slumps
 ## Input data
 
-## Examples
-
-### The good ones 
-![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/65d21a586a61dce9699400e8/NRsfZ_tJsRU7kWW6X80cb.jpeg)
-![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/65d21a586a61dce9699400e8/6rimx_aHakwtbkegOvzC4.jpeg)
-
-### The bad ones
-![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/65d21a586a61dce9699400e8/tU70jjCWeD0fsXw3esu_X.jpeg)
-![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/65d21a586a61dce9699400e8/UWnXzbUFEGEtLCDEuFTBc.jpeg)
-![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/65d21a586a61dce9699400e8/iffGBy-If5rbWzfELh5SI.jpeg)
+## Examples