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f3dcb75 a505d7d e197b2b f3dcb75 bc669dc 18ce2a9 bc669dc ebf6f99 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | Models in this repository are exported from various sources.
* car_aerial_detection_yolo7_ITCVD_deepness
* yolov9_trees
* model_yolov7_tiny_planes_256
* buildings_ramp_XUnet_256
* road_segmentation_model_with_metadata_26_10_22
> https://qgis-plugin-deepness.readthedocs.io/en/latest/main/main_model_zoo.html
* tree_crown_detection_retinanet_deepforest
> Weinstein, B.G.; Marconi, S.; Bohlman, S.; Zare, A.; White, E. Individual Tree-Crown Detection in RGB Imagery Using Semi-Supervised Deep Learning Neural Networks. Remote Sens. 2019, 11, 1309
* bird_detection_retinanet_deepforest
> Weinstein, B.G., Garner, L., Saccomanno, V.R., Steinkraus, A., Ortega, A., Brush, K., Yenni, G., McKellar, A.E., Converse, R., Lippitt, C.D., Wegmann, A., Holmes, N.D., Edney, A.J., Hart, T., Jessopp, M.J., Clarke, R.H., Marchowski, D., Senyondo, H., Dotson, R., White, E.P., Frederick, P. and Ernest, S.K.M. (2022), A general deep learning model for bird detection in high resolution airborne imagery. Ecological Applications. Accepted Author Manuscript e2694. https://doi-org.lp.hscl.ufl.edu/10.1002/eap.2694
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