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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
15,983 datasets
A post-storm LiDAR survey commissioned in March 2022 covered soft sedimentary areas along the north coast of Northern Ireland, including Curran Strand and Portstewart Strand. The survey was repeated in September 2022 to measure coastal recovery, with data acquired at 0.5m resolution from the intertidal area to 10m inland. This Digital Surface Model is provided by OpenDataNI under the OGL-UK-3.0 license.
A Digital Surface Model derived from topographic LiDAR surveys of soft sedimentary coastlines on the north coast of Northern Ireland. Fugro collected the data in March and September 2022 to measure coastal change and recovery following major storms. The survey covers specific beaches from Curran Strand to Magilligan, with data acquired at 0.5m resolution from the intertidal zone to 10m inland.
Fugro collected post-storm LiDAR and orthophotography for soft sedimentary coastlines along the north coast of Northern Ireland in March and September 2022. The data was commissioned to assess damage and recovery from Storm Dudley, Eunice, and Franklin, with surveys covering areas from Curran Strand to Magilligan. Data was provided at 0.5m resolution and is directly comparable to a baseline survey from 2021.
Northern Ireland's north coast was surveyed using LiDAR and orthophotography in March and September 2022. Fugro was commissioned to capture data from Curran Strand to Magilligan to assess damage and recovery from storms Dudley, Eunice, and Franklin. The data, provided by OpenDataNI, is directly comparable to a baseline 2021 survey.
March and September 2022 orthophotography collected via LiDAR surveys commissioned by Fugro along the soft sedimentary north coast of Northern Ireland. The data captures the intertidal area to 10m inland at 0.5m resolution to assess damage and recovery from storms Dudley, Eunice, and Franklin. It was provided by OpenDataNI under the OGL-UK-3.0 license.
A post-storm LiDAR survey commissioned in March 2022 covered soft sedimentary areas along the north coast of Northern Ireland, including Curran Strand and Portstewart Strand. The survey was repeated in September 2022 to measure coastal recovery, with data acquired at 0.5m resolution from the intertidal area to 10m inland. This Digital Surface Model is provided by OpenDataNI under the OGL-UK-3.0 license.
Impresso Project's Frakturline Testset is a balanced evaluation set of 2,000 scanned text-line images for binary classification. It contains 1,000 images each of Fraktur (blackletter) and other scripts, primarily Antiqua. The dataset was developed for the Impresso digital humanities project.
Microsoft's BizGenEval is a systematic benchmark for evaluating image generation models on real-world commercial design tasks. It comprises 400 curated prompts and 8,000 checklist questions across 20 evaluation tasks, covering 5 document types and 4 capability dimensions. The dataset was last updated on April 1, -2026.
A pretrained ResNet12 model for the CUB-200-2011 dataset, which is a standard benchmark for fine-grained bird image classification. The dataset likely contains 200 bird species with approximately 6,000 training images and 5,700 test images. This model was published on Kaggle, a platform for data science and machine learning.
Kaggle hosts the final_YOLO-RD_full_updated_v3 dataset. The title suggests it is an updated version of a dataset for training or evaluating YOLO-based object detection models. Metadata is minimal; the actual content, scale, and creation details require verification after download.
DS_YOLO_RD_T appears to be a dataset related to the YOLO object detection model. It is hosted on Kaggle, but detailed metadata such as column descriptions, sample data, and size are unavailable. The title suggests it may contain resources for implementing and visualizing YOLO-based detection tasks.
ResNet_4096_256_8_1e_4_e2000 is a dataset published on Kaggle. The title suggests it is related to a ResNet deep learning model, possibly containing model weights, training logs, or image features. The dataset's specific content, size, and origin are not detailed in the available metadata.
resnet_4096_256_16_1e_4_e2000 is a dataset published on Kaggle. The title suggests it is related to training a ResNet model, likely containing images for computer vision tasks. Specific details about the data's size, source, and creation date are unavailable.
PersonPath22 is a large-scale multi-person tracking dataset containing 236 videos captured mostly from static-mounted cameras. The dataset was collected from sources where redistribution rights and participant consent were secured, and it is hosted by Amazon Web Services. Each video includes ground-truth annotations with bounding boxes and tracklet IDs for all persons in every frame.
A custom dataset likely intended for training or evaluating the YOLO v26x object detection model. The dataset is hosted on Kaggle, but its specific contents, size, and creation details are not provided in the metadata. Columns, sample data, and other descriptive information are unknown.
PaddleOCR model weights published on Kaggle. The dataset likely contains pre-trained model parameters for the PaddleOCR framework, a popular open-source tool for text detection and recognition. Specific details on the model architecture, training data, and performance metrics are not provided in the available metadata.
UA-DETRAC is a dataset for vehicle detection and tracking, likely derived from traffic surveillance footage. The dataset is hosted on Kaggle, but its specific size, collection dates, and original authors are not detailed in the provided metadata. Its title suggests it is formatted for use with the YOLO object detection framework.
Germany's nationwide land use plans are provided via an ATOM feed service. The data is managed by the Bundesamt für Kartographie und Geodäsie and was last updated on March 27, 2026. The feed likely contains structured information about land use designations and planning regulations.
Texas Data Repository Harvested Dataverse hosts a dataset of events for fall 2025, including classes, rehearsals, and organization meetings. The dataset was authored by Lauren Jurgemeyer and last updated on April 27, 2026. The specific number of events and detailed features are not provided in the available metadata.
Over 1 million small water systems in California are potential sources for this data, which tracks household water supply shortages via a voluntary reporting system. The cross-agency Work Group, led by the California Department of Water Resources, established the system in early 2014 to identify areas at risk and coordinate drought assistance. Reports are manually entered from various local, state, federal, and non-governmental sources and tracked to resolution.