Predicted segmentation masks from UNet, Dense UNet and DeepLabv3+ for breech and firing-pin areas for a NIST dataset of firearm cartridge case images
收藏DataCite Commons2025-07-17 更新2026-04-25 收录
下载链接：
https://discovery.dundee.ac.uk/en/datasets/predicted-segmentation-masks-from-unet-dense-unet-and-deeplabv3-f
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资源简介：
The dataset in 10.15132/10000262 contains training, validation and test data. The test data consist of 339 images. We have used this data to train three CNNS: UNet, Dense UNet and DeepLabv3+. We have calculated the predicted masks for the test data at 512x512 pixel resolution for the firing-pin, breech face areas as well and both areas together. A post-processing step was perform on the masks. The dataset contains the mask from the three CNNs, the three areas and with and without post-processing.
提供机构：
University of Dundee
创建时间：
2025-07-17
