BIM-Speed training dataset for HVAC detection using Deep Learning

Training dataset formed by two types of elements (for now) to be detected by the model using Deep Learning: Boiler and Radiator. Of the boiler type 107 images have been collected and of the radiator type 123 images. Although there are few images to get good training, it can be used as a first approximation and to evaluate the precision obtained with few training images. These images have been distributed in 80% of the images for the training phase and 20% for the test phase. All the images have the bounding box data for each element in the xml file with the same name. Additionally, 33 other images (not previously used) have been used for the validation of the tool.

More information can be found here (subsection 3.1 Detection and classification of HVAC components in images): https://www.bim-speed.eu/en/Project%20Results%20%20Documents/Deliverables/D1.2.pdf