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license: cc-by-4.0
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license: cc-by-4.0
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[PyTorch FasterRCNN](https://pytorch.org/vision/main/models/generated/torchvision.models.detection.fasterrcnn_resnet50_fpn.html#torchvision.models.detection.fasterrcnn_resnet50_fpn) with ResNet50 backbone finetuned on grayscale COCO.
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The COCO images were transformed to grayscale using PIL. The hyperparameters and epochs were all kept the same as the implementation for [PyTorch](https://github.com/pytorch/vision/tree/main/references/detection#faster-r-cnn-resnet-50-fpn).
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Can be used as pretrained model for multispectral imaging as suggested in this [paper](https://ceur-ws.org/Vol-2771/AICS2020_paper_50.pdf).
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