{ "DETAILS": { "NAME": "Doodleverse/Segmentation Zoo Res-UNet models for 4-class (water, whitewater, sediment and other) segmentation of Sentinel-2 and Landsat-7/8 3-band (RGB) images of coasts..", "DATE": "2022-11-23", "URL":"10.5281/zenodo.6229071", "CITATION":"Buscombe, D. (2022) Doodleverse/Segmentation Zoo Res-UNet models for 4-class (water, whitewater, sediment and other) segmentation of Sentinel-2 and Landsat-7/8 3-band (RGB) images of coasts. Zenodo data release 10.5281/zenodo.6950472", "QUERIES": "https://github.com/Doodleverse/segmentation_zoo/issues", "CREDIT":"Daniel Buscombe, @MARDAScience", "INTENDED_PURPOSE":"Landsat-7/8 and Sentinel-2 satellite image segmentation", "KEYWORDS": { "1": "Landsat", "2": "Landsat-8", "3": "Landsat-7", "4": "Sentinel-2", "5": "water", "6": "whitewater", "7": "sediment", "8": "other" } }, "DATASET": { "NAME": "Images and 4-class labels for semantic segmentation of Sentinel-2 and Landsat RGB satellite images of coasts (water, whitewater, sediment, other) ", "SOURCE": "https://cmgds.marine.usgs.gov/data-releases/datarelease/10.5066-P91NP87I", "CITATION": "Buscombe, Daniel, Goldstein, Evan, Bernier, Julie, Bosse, Stephen, Colacicco, Rosa, Corak, Nick, Fitzpatrick, Sharon, del Jesús González Guillén, Anais, Ku, Venus, Paprocki, Julie, Platt, Lindsay, Steele, Bethel, Wright, Kyle, & Yasin, Brandon. (2022). Images and 4-class labels for semantic segmentation of Sentinel-2 and Landsat RGB satellite images of coasts (water, whitewater, sediment, other) (v1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7335647", "NUMBER_LABELED_IMAGES": 1018, "CLASSES": { "0": "water", "1": "whitewater", "2": "sediment", "3": "other" }, "N_DATA_BANDS": 3, "BAND_NAMES": { "0": "red", "1": "green", "2": "blue" } }, "MODEL": { "NAME": "resunet", "KERNEL":9, "STRIDE":2, "FILTERS":6 }, "TRAINING": { "BATCH_SIZE": 32, "DROPOUT":0.05, "DROPOUT_CHANGE_PER_LAYER":0.0, "DROPOUT_TYPE":"standard", "USE_DROPOUT_ON_UPSAMPLING":false, "LOSS":"dice", "PATIENCE": 20, "MAX_EPOCHS": 100, "VALIDATION_SPLIT": 0.7, "RAMPUP_EPOCHS": 40, "SUSTAIN_EPOCHS": 5.0, "EXP_DECAY": 0.9, "START_LR": 1e-6, "MIN_LR": 1e-6, "MAX_LR": 1e-2, "MODE": "all" }, "AUGMENTATION": { "AUGMENTATION_USED": true, "AUG_ROT": 5, "AUG_ZOOM": 0.05, "AUG_WIDTHSHIFT": 0.05, "AUG_HEIGHTSHIFT": 0.05, "AUG_HFLIP": true, "AUG_VFLIP": true, "AUG_LOOPS": 10, "AUG_COPIES": 5 } }