Name: Testing, Training and Validation Synthetic Dataset of Transmission Electron Microscopy (TEM) Images of Gold Nano-particles for Segmentation Description: This is a dataset of Transmission Electron Microscopy (TEM) images of gold nano-particles and comprises synthetic data (generated using TEMPOS) mimicking experimental TEM images (from Professor Lee Cronin, University of Glasgow, https://doi.org/10.1038/s41467-020-16501-4) for segmentation. This data has been split into test and training sets. A validation set of experimental images with manual annotations has also been included. This croissant file was heavily inspired by https://github.com/mlcommons/croissant/tree/828034a45d5c536789c7f6311d4c4a68f7804129/datasets/1.0/coco2014 Type: Dataset Date published: 2026-04-01T00:00:00Z Version: 1.0.0 License: CC-BY-4.0 (https://spdx.org/licenses/CC-BY-4.0.html) Keywords: None Main entity: images.zip About: None
| Location | File | Format | Description | |---|---|---|---| | / | images.zip | application/zip | zip file containing TEM png image files, grouped into test/train/val folders. | | / | instances_annotations_test.json | application/json | Metadata for test dataset and each image file along with segmentation annotations for each image file in COCO format (https://cocodataset.org/#home, very common for instance segmentation). | | / | instances_annotations_train.json | application/json | Metadata for training dataset and each image file along with segmentation annotations for each image file in COCO format (https://cocodataset.org/#home, very common for instance segmentation). | | / | instances_annotations_val.json | application/json | Metadata for experimental validation dataset and each image file along with segmentation annotations for each image file in COCO format (https://cocodataset.org/#home, very common for instance segmentation). | | / | val_binary_masks.zip | application/zip | Zip file containing binary masks file image (.png) files for the experimental validation dataset. These are very used for U-NET models (popular models in the microscopy field). |