Multi-View Material Classification on a Conveyor Belt: RGB–LWIR Video Dataset

19 synchronised RGB and LWIR (FLIR) video pairs of household waste objects (glass, metal, paper, plastic) on a conveyor belt, with 550 manually-labelled per-object tracklets, RGB-to-thermal homography matrices, precomputed SuperPoint–SuperGlue frame-matching CSVs, and a frozen Mask R-CNN detector (ResNet-50-FPN backbone) trained on the ThermalRGBTrash segmentation pool. Optional convenience tier includes precomputed OC-SORT tracklets and frozen DINOv2 ViT-L/14 feature caches. Companion data to:"Software-Only Registration and Cross-Spectral Classification of Unsynchronised RGB–LWIR Video: A Multisensor Benchmark for Conveyor-Based Waste Sorting" (Akdemir & Yüksel, MDPI Sensors, 2026). Code repository: https://github.com/akde/mwc-rgbt-waste-sorting The pretrained Detectron2 weights in det2_model/ were trained on the ThermalRGBTrash dataset; ThermalRGBTrash has its own license, which governs redistribution of those weights (see det2_model/PROVENANCE.md inside the archive).