Datasets:
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The **IndustrialDetectionStaticCameras** dataset has been collected to validate the methodology presented in the paper entitled [A few-shot learning methodology for improving safety in industrial scenarios through universal self-supervised visual features and dense optical flow](https://www.sciencedirect.com/science/article/pii/S1568494624011499?via%3Dihub). This dataset is divided into five main folders named `videoY`, where `Y=1,2,3,4,5`. Each `videoY` folder contains the following:
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- The video of the scene in `.mp4` format: `videoY.mp4`
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- A folder with the images of each frame of the video: `imgs_videoY`
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- A folder that includes for each frame a `.txt` file that holds for each labelled object a line with the annotation in kitti format: `annotations_videoY`
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path: data/video5-*
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The **IndustrialDetectionStaticCameras** dataset has been collected in order to validate the methodology presented in the paper entitled [A few-shot learning methodology for improving safety in industrial scenarios through universal self-supervised visual features and dense optical flow](https://www.sciencedirect.com/science/article/pii/S1568494624011499?via%3Dihub). This dataset is divided into five main folders named `videoY`, where `Y=1,2,3,4,5`. Each `videoY` folder contains the following:
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- The video of the scene in `.mp4` format: `videoY.mp4`
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- A folder with the images of each frame of the video: `imgs_videoY`
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- A folder that includes for each frame a `.txt` file that holds for each labelled object a line with the annotation in kitti format: `annotations_videoY`
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