Dar-es-Salaam Data

# predictions.zip file contains predictions from deep learning models for the entire study area. Ground-truth data also provided where available (e.g., within TCU boundaries). This dataset can be used for further analysis in Dar es Salaam. Raw drone imagery is not included due to privacy concerns. Please reachout to authours of the paper if required.# pretrained_models.zip file contains five trained deep learning models. These models can detect the four classes we trained for using RGB drone images. Sample code to load the models and generate predictions is available here: https://github.com/mosquito-risk/Dar-es-Salaam/blob/main/Larval_Habitats.ipynb# results.csv file contains the original values behind the mean and standard deviations reported in Fig. 3. Each row corresponds to the results from one trial.# sample_data.zip file contains drone imagery for a single TCU region.