Prueba de Validaci\u00f3n del Modelo

This dataset contains real and predicted 2D position coordinates (x, y) used for the validation of a deep learning-based indoor positioning model. The data were collected using Bluetooth Low Energy (BLE) signals emitted by four fixed ESP32 nodes and received by a mobile ESP32 device. The real positions were manually labeled, while the predicted positions were obtained from the trained model. It is particularly useful for researchers working on fingerprinting-based positioning systems, BLE signal processing, and deep learning applications in indoor localization.