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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
15,261 datasets
Southern Australia's Bight Basin contains a new stratigraphic interpretation of Cretaceous sedimentary rocks from petroleum wells and water bores. The record, presented by the Australian Ocean Data Network, correlates onshore and offshore sections using biostratigraphic and seismic data. It identifies organic-rich shale sequences from the Valanginian to Campanian stages, with a maximum thickness exceeding 357 meters in the Madura 1 well.
A viewing and listening study of the local broadcaster Omroep Organisatie Groningen (OOG) commissioned by the municipality of Groningen. The research provides insight into awareness and appreciation of OOG among municipal residents through various media channels. The dataset is published by the Dutch Ministry of the Interior and Kingdom Relations under a CC-BY-4.0 license.
A geological note presents an environmental analysis of an exposure of the Jurassic Jurgurra Sandstone in the Canning Basin. The analysis, conducted during 1976 mapping, found evidence of aeolian deposition in a section about 20 km north of the type locality. The data is provided by the Australian Ocean Data Network and was last updated in April 2026.
A collection of marine fossils from the Upper Jurassic (Kimmeridgian and Tithonian) and Lower Cretaceous (Neocomian and Aptian) periods, documented from the Dampier Peninsula in Western Australia. The data was compiled from publications by multiple authors, including Brunnschweiler, Guppy, and Fairbridge, primarily before mid-1954. The original fossil specimens were partially lost in a 1953 fire, with documentation relying on surviving photographs.
FINSABER V2 Data is a partitioned parquet dataset used by the FINSABER-2 backtesting framework. It contains daily S&P 500 market data, financial news items, and SEC filing text organized by year. The dataset was created by finsaber-team and last updated on HuggingFace in May 2026.
Approximately 1.8 million gravity observations from the Australian National Gravity Database and the 2013 New South Wales Riverina survey were used to generate this image. It shows complete Bouguer anomalies over onshore continental Australia, derived from data acquired by government, industry, and research organizations from the 1940s onward. The final product is an image-enhanced, sun-shaded hue-saturation-intensity (HSI) representation of the gravity grid.
Tabulated detection results generated by the Faster R-CNN two-stage object detector architecture. The dataset is a 98.1 KB CSV file created by author Lin Lin and last updated on May 7, 2026. It is intended for performance comparison of the model's outputs.
78.8 KB of tabulated detection results generated by the YOLOv8 small (YOLOv8s) architecture. The dataset is used to assess the real-time performance and precision of the model and was authored by Lin Lin. It was last updated on 2026-05-07.
6,846 multi-turn Socratic tutoring conversations covering 513 primary school math knowledge points. This dataset was created by Ding et al. for the paper 'Boosting Large Language Models with Socratic Method for Conversational Mathematics Teaching' (CIKM '24). It is hosted on Hugging Face by the user ulises-c.
Geoscience Australia houses one of the world's largest collections of petroleum data, available to industry, researchers, and the public. The collection includes digital and hard-copy well data such as completion reports, logs, analysis reports, seismic profiles, and core photography. Data is submitted by industry under legislative requirements and collected by research projects and marine surveys.
Waqar Rauf Butt authored this 9.5 KB dataset, cataloging limitations in related work for depth estimation and pothole detection. It was last updated on May 8, 2026, and is shared under a CC-BY-4.0 license on figshare. The dataset is stored in an XLS file format.
A dataset containing n-alkanes, fatty acids, total organic carbon (TOC), and total nitrogen (TN) from environmental sediment samples. The data supports organic matter source identification, sedimentary environment evolution analysis, and biogeochemical cycle research. It was authored by ไปๆธฏ Tong and last updated on 2026-05-07.
FineBench is a large-scale, multiple-choice Video Question Answering dataset designed to evaluate fine-grained understanding of human actions in videos. It leverages dense spatial and temporal annotations from the AVA v2.2 dataset, providing approximately 200,000 questions focused on nuanced person movements, interactions, and object manipulations within long video contexts. The dataset was created by FINEBENCH and was last updated on May 23, 2026.
A 0.5m resolution bathymetric grid was acquired for the Australian Hydrographic Office over two days in September 2020. The survey, conducted between Gantheaume Point and Talboys Rock in Broome, WA, was processed using Caris HIPS & SIPS and Kongsberg EM 2040D equipment. This dataset provides grids in MSL, LAT, and Ellipsoid vertical datums for calibrating multibeam echosounders.
8,700 examples of synthetic chain-of-thought reasoning generated by Claude Opus models 4.6 and 4.7. The dataset was created by author pmshal232 using spare API tokens and has not been manually reviewed. It was last updated on Hugging Face on 2026-05-25.
RevealLayer Open is the open-source dataset accompanying the ICML 2026 paper 'RevealLayer: Disentangling Hidden and Visible Layers via Occlusion-Aware Image Decomposition'. The dataset supports research into box-guided layered image decomposition for natural images. It was created by qihoo360 and last updated on Hugging Face in May 2026.
Neha Margret Issac published this dataset on figshare in May 2026. It contains performance metrics for Elastic YOLO variants trained with limited data samples. The dataset is small, at 5.5 KB, and is available in XLS format.
Neha Margret Issac published a benchmarking dataset on figshare in May 2026. The dataset is 5.5 KB in size and is licensed under CC-BY-4.0. It likely contains performance metrics comparing the Elastic YOLO model against other state-of-the-art object detection models.
Epoch-wise analysis of individual and total loss for Elastic YOLO and YOLOv5 object detection models. The dataset is a 5.5 KB XLS file authored by Neha Margret Issac and published under a CC-BY-4.0 license on figshare. It was last updated on May 12, 2026.
Neha Margret Issac published a dataset comparing Intersection over Union metrics between Elastic YOLO and Baseline YOLOv5 models. The dataset is stored in an XLS file sized at 5.5 KB. It was last updated on May 12, 2026.