The effective and rapid acquisition of wide-area mine occupation information is crucial for ecological geo-environmental protection and sustainable development. We constructed a dataset using Hubei Pr
Supplementary artifacts for the paper "PointRefiner: Sub-Million Parameter Point-Prompted Instance Segmentation" by Bulzan and Cernăzanu-Glăvan (under review at Neurocomputing, 2026). ▎ Contents: ▎
Performance of the binary classifier and Mask R-CNN models in predicting the occurrence of any bird instance(s) at the image level applied to 69 additional images together with 9 images of test datase
A fully annotated subset of the SO242/1_83-1_AUV10 image dataset. The annotations are given as train and test splits that can be used to evaluate machine learning methods. The following classes of fau