Image datasets for training, validating and testing deep learning models to detect microfossil fish teeth and denticles called ichthyolith using YOLOv7

This repository contains datasets to train, validate and test deep learning models to detect microfossil fish teeth and denticles called "ichthyoliths". All the dataset contains images of glass slides prepared from deep-sea sediment obtained from Pacific Ocean, and annotation label files formatted to YOLO. 01_original_all The dataset contains 12219 images and 6945 label files. 6945 images include at least one ichthyolith and 5274 images include no ichthyolith. These images and label files were randomly split into three subset, "train" that contains 9740 images and 5551 label files, "val" that contains 1235 images and 695 label files and "test" that contains 1244 images and 699 label files. All the images were selected manually. 02_original_selected This dataset is generated from 01_original_all by removing images without ichthyoliths. The dataset contains 6945 images that include at least one ichthyolith and 6945 label files. The dataset contains three subset, "train" that contains 5551 images and label files, "val" that contains 695 images and label files and "test" that contains 699 images and label files. 03_extended_all This dataset is generated from 01_original_all by adding 4463 images detected by deep learning models. The dataset contains 16682 images and 9473 label files. 9473 images include at least one ichthyolith and 7209 images include no ichthyolith. These images and label files were split into three subset, "train" that contains 13332 images and 7594 label files, "val" that contains 1690 images and 947 label files and "test" that contains 1660 images and 932 label files. Label files were checked manually. 04_extended_selected This dataset is generated from 03_extended_all by removing images without ichthyoliths. The dataset contains 9473 images that include at least one ichthyolith and 9473 label files. The dataset contains three subset, "train" that contains 7594 images and label files, "val" that contains 947 images and label files and "test" that contains 932 images and label files.