datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
image-segmentation-toy-datamask-for-image-segmentation-testsface-segmentation-image-dataset
Image Dataset of Face Segmentation for recognition tasks
Dataset comprises 87,800+ images annotated with 100+ landmarks, providing a comprehensive foundation for research in face recognition, segmentation tasks, and object recognition. It is designed to support the development of learning models, recognition algorithms, and segmentation techniques.
By utilizing this dataset, researchers and developers can advance their understanding and capabilities in facial recognition, face… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/face-segmentation-image-dataset.RS_Image_Segmentation_Vaihingenbrain-tumor-image-dataset-semantic-segmentation
Dataset Card for "brain-tumor-image-dataset-semantic-segmentation"
Dataset Description
The Brain Tumor Image Dataset (BTID) for Semantic Segmentation contains MRI images and annotations aimed at training and evaluating segmentation models. This dataset was sourced from Kaggle and includes detailed segmentation masks indicating the presence and boundaries of brain tumors.
This dataset can be used for developing and benchmarking algorithms for medical image segmentation… See the full description on the dataset page: https://huggingface.co/datasets/dwb2023/brain-tumor-image-dataset-semantic-segmentation.anime_image_segmentationThis dataset consists of 26,000 anime style images, half of which are foreground characters or objects, and the other half of which are backgrounds. It is intended for training segmentation or matting models where the foreground subject can be extracted from the background.
The foundation of this dataset is based upon https://huggingface.co/datasets/skytnt/anime-segmentation
I found the overall quality of that dataset did not meet my needs, so I did a lot of automated and manual inspection of… See the full description on the dataset page: https://huggingface.co/datasets/Zarxrax/anime_image_segmentation.Nerve-Ultrasound-Image-SegmentationFundus-Image-Segmentationlunar-image-crater-segmentation-global-v1
Overview
This dataset contains synthetic lunar surface images with corresponding crater segmentation masks. Images were generated using a THREE.js based rendering engine. Fibonacci sphere sampling was used to ensure uniform coverage of the lunar surface. Segmentation masks were generated by projecting ground-truth crater ellipses from Robbins (2018) onto images.
Example ground truth crater ellipse projection onto synthetic lunar image:
Generation
Sampling Method:… See the full description on the dataset page: https://huggingface.co/datasets/tycho-orbital/lunar-image-crater-segmentation-global-v1.RS_Image_Segmentation_VaihingenNamgyal-ImageSegmentationpelvis-fracture-image-segmentationMulti-Organ_Medical_Image_Segmentation_Datasetsimage-segmentation-checkpoint-downloadsuniversal-medical-image-segmentationimage-segmentation-models-datasetImage-to-Segmentation
Segmentation Data Subset
image_id: Refer to image_id on image_data subset
segmentation_id: Segmentation identifier
segmentation_information: COCO Format annotations: [[x1, y1, x2, y2, x3, y3, x4, y4]]
automatic-sem-image-segmentationcv.2.image_segmentation
Dataset Card for "cv.2.image_segmentation"
More Information needed
Fossil_Segmentation_Image_AnalysisMedical_Image_Segmentation_DatasetGlomanThang-ImageSegmentation-sensitiveimage_documents_segmentation