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