Datasets for hydrothermal plume detection

This repository contains following two dataset which were used for training, validation and testing of deep learning models to detect signatures of hydrothermal plumes from acoustic images.

The dataset "20220110_signal_only.zip" is for one-class training of object detection models. Locations of only signals in images were annotated.
The dataset "20220111_with_noise.zip" is for two-class training. Locations of signals and noises (similar color patterns with signals, but different shapes) were annotated.

Both datasets contain 800 images and annotation information for training, 100 images and annotation information for validation, and 280 images and annotation information for test.

Annotation information is formatted in two types. One is "via_region_data.json", which is applicable for utilizing Mask R-CNN model (https://github.com/matterport/Mask_RCNN). The other is "labels" directory which are applicable for utilizing YOLO-v5 models (https://github.com/ultralytics/yolov5).

本存储库包含两个用于训练、验证和测试深度学习模型以检测声学图像中热液羽流特征的数据集。数据集“20220110_signal_only.zip”旨在进行单类训练，其中仅对图像中的信号位置进行了标注。数据集“20220111_with_noise.zip”则用于双类训练，其中对信号和噪声（与信号相似但形状不同的颜色模式）的位置进行了标注。两个数据集均包含800张训练图像及其标注信息、100张验证图像及其标注信息和280张测试图像及其标注信息。标注信息采用两种格式，一种为“via_region_data.”，适用于Mask R-CNN模型（https://github.com/matterport/Mask_RCNN），另一种为“labels”目录，适用于YOLO-v5模型（https://github.com/ultralytics/yolov5）。