aodebiao-a/JL1-CUP-2024-Second-FormatJL1 CUP 2024 — Second track format for semantic change detection Bi temporal 256×256 RGB patches with per pixel semantic maps at times T1/T2 and a binary change map , aligned with the data split described in the literature for the JL1 cropland change detection benchmark ( Second Track / JL1 Second style layout). Source Resource URL JL1 Mall contest information contest page JL1 data / resources portal resrepo Data are provided by the JL1 / Jilin 1 ecosystem and the “耕地变化检测” (cropland change detection) competition. This Hub snapshot organizes released splits into a single semantic change detection (SCD) directory layout (T1/T2 + semantic labels + change mask). Credit & citation The train / validation labeling and split follow the convention used in remote sensing SCD work on this benchmark. If you use this dataset in research, please cite: Please also acknowledge the JL1 competition and data provider in line (e.g. “JL1 CUP / JL1 Mall”) whenever you report results. Dataset summary Item Value Task Semantic change detection (semantic maps at T1 & T2 + change mask) Patch size 256 × 256 × 3 (uint8 PNG) Train samples 4 050 Validation samples 1 950 (with labels) Test samples 2 000 ( bi temp…

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