Datasets › SJTU Multispectral Object Detection (SMOD) Dataset

SJTU Multispectral Object Detection (SMOD) Dataset

Introduced by Zizhao Chen et al. in AMFD: Distillation via Adaptive Multimodal Fusion for Multispectral Pedestrian Detection21 May 2024 archive 2025-07-28

We present the SJTU Multispectral Object Detection (SMOD) dataset for detection. The dataset has 8676 infrared visible image pairs. Within this dataset, 8042 pedestrians, 10478 riders, 6501 bicycles, and 6422 cars are annotated. The degree of occlusion of all objects is meticulously annotated. The dataset with low sampling rate has dense rider and pedestrian objects and contains rich illumination variations in its 3298 pairs of images of night scenarios.

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Benchmarks archive 2025-07-28

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Papers archive 2025-07-28

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Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

2D Object Detection

License archive 2025-07-28

CC BY-NC-SA 4.0

Modalities archive 2025-07-28

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Variants archive 2025-07-28

SJTU Multispectral Object Detection (SMOD) Dataset

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