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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,294 datasets
YOLO PCB MULTIVIEW DATASET is a computer vision dataset hosted on Kaggle. The dataset likely contains images of printed circuit boards (PCBs) from multiple viewpoints, intended for training object detection models. The specific number of images, annotation details, and creation date are unknown from the provided metadata.
Kaggle hosts this dataset titled 'coco-vgg-features-valtest'. The dataset likely contains precomputed feature vectors extracted from images in the COCO (Common Objects in Context) validation and test sets using a VGG convolutional neural network. The specific number of rows, file formats, and author details are unknown from the provided metadata.
Medariana, Michigan and Nevada water temperature and other environmental data collected by NOAA NCEI. The dataset covers the period from September 22, 1976, to August 14, 1977. It is published on the nasa_earthdata platform.
Water temperature and other oceanographic data collected from the vessel GILLIGAN. The dataset is published by NOAA's National Centers for Environmental Information (NCEI) and covers the period from March 27, 1945, to August 22, 1945. The specific variables and measurement methods are not detailed in the available metadata.
Water temperature and other data collected from the vessel Finnegan between January 22 and April 19, 1945. The dataset is published by NOAA's National Centers for Environmental Information (NCEI) under accession number 7600405. It is hosted on the NASA Earthdata platform.
A dataset from the NOAA NCEI archive containing measurements of turbidity and particulate organic carbon, likely alongside other oceanographic variables. The data was collected from the vessel RORQUAL between November 12, 1973, and June 5, 1975. The dataset is hosted on the NASA Earthdata platform.
Oceanographic data collected from the vessel G. B. KELEZ between May 1977 and March 1978. The dataset likely contains measurements of turbidity and particulate organic carbon, among other water quality parameters. It is published by NOAA NCEI and accessed via the NASA Earthdata platform.
NCEI Accession 7601894 contains water quality measurements, including turbidity and particulate organic carbon, collected from the vessel COMMONWEALTH. The data was published by NOAA_NCEI and covers the period from September 28, 1973, to August 5, 1974. The dataset's specific volume and structure are not detailed in the available metadata.
Atlantic Ocean data collected from platforms including ATLANTIC TWIN and G. B. KELEZ between April 1975 and March 1976. The dataset likely contains measurements of turbidity and particulate organic carbon, among other water quality parameters. It is published by NOAA NCEI and accessed via the nasa_earthdata platform.
NOAA NCEI Accession 0000045 contains data on suspended particulate matter (SPM), particulate organic carbon (POC), and other microbiological measurements from the Columbia River Estuary Turbidity Maximum (CRETM) project. The data collection period spans from May 1992 to July 1996. The dataset is published on the nasa_earthdata platform.
1975-08-29 to 1976-04-07 is the temporal coverage for this collection of oceanographic data. It includes measurements of oxygen percent saturation and particulate organic carbon, among other variables, collected from the NOAA Ship Oceanographer. The dataset is archived by the NOAA National Centers for Environmental Information.
Oxygen percent saturation and particulate organic carbon measurements were collected by NOAA Ship OCEANOGRAPHER from August 1975 to April 1976. The dataset is archived by NOAA's National Centers for Environmental Information under accession number 7800256. It captures in-situ water column data from a specific research cruise.
Oceanographic data from the NOAA ship EXCELLENCE collected over a 52-day period in spring 1980. The dataset includes measurements of oxygen percent saturation and particulate organic carbon. It was submitted by the NOAA National Centers for Environmental Information (NCEI).
Oceanographic data collected by the NOAA vessel EXCELLENCE from February 1979 to March 1980. The dataset includes measurements of oxygen percent saturation and particulate organic carbon. Data was collected and archived by NOAA's National Centers for Environmental Information (NCEI).
The U.S. Environmental Protection Agency's Automotive Trends Report provides data on greenhouse gas emissions, fuel economy, and technology for every new light-duty vehicle model sold in the United States since 1975. The data is collected from EPA laboratory testing and manufacturer submissions to support regulatory programs like GHG and CAFE standards. It is available in annual reports and downloadable spreadsheet formats.
YOLO datasets are collections of images and annotations designed for training You Only Look Once object detection models. The datasets are hosted on Kaggle, a popular platform for sharing machine learning data. Specific details on the number of images, annotation format, and original source are not provided in the available metadata.
A computer vision dataset for automated agricultural quality inspection. The description indicates a CNN approach was used for high-accuracy grade classification. The dataset's author, organization, and specific scale are unknown.
Comic-detector-resnet18 is a dataset published on Kaggle, likely containing images for training or evaluating a computer vision model. The title suggests the data is used for detecting comic-related content, possibly panels or characters, using a ResNet18 architecture. No information is available regarding its size, creator, or specific contents.
An image dataset likely intended for training and evaluating a YOLOv5 object detection model for bees. It was published on Kaggle, but the author, organization, and update date are unknown. The specific number of images, annotations, and data collection method are not provided in the available metadata.
Image CNN is a dataset published on Kaggle. The dataset likely contains images intended for training or benchmarking convolutional neural network models. Its specific content, size, and origin are not detailed in the provided metadata.