Deep Change Monitoring: A Hyperbolic Representative Learning Framework and a Dataset for Long-term Fine-grained Tree Change Detection

This dataset is the supplement data of our publication inCVPR 2025: Deep Change Monitoring: A Hyperbolic Representative Learning Framework and a Dataset for Long-term Fine-grained Tree Change Detection. The data includes "Train set" and "Test set", the pictures of the same tree are saved in the same folder, and each picture is named after their date, e.g., "20230425.jpg" means the picture is collected on 25th, April, 2023. The "labelling.xlsx" contains the reference status of each tree, the meaning of status ID is below: 0 : The leaves have fallen out 1 : The leaves are green 2 : The leaves are yellow 3 : It starts to grow leaves or leaves starts to fall 4 : blossom