19,997 machine learning datasets
19,997 dataset results
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A landslide dataset for LDBF predictions.
๐ฝ CornHub: Instance-Segmentation Dataset of Corn Cobs Version: 1.0.0 Date: 2025-05-18 License: CC BY 4.0 Author: Sebastian Borukaลo
This dataset contains a curated sample of 20,000 English-language user reviews sourced exclusively from Trustpilot.com. It is a representative subset of our larger collection containing over 1 million Trustpilot reviews across various industries and companies.
It is released by the Shanghai Central Meteorological Observatory (SCMO) in 2020, records serval years of historical precipitation events in the Yangtze River delta area. The dataset contains a total of 43000 samples of precipitation events, of which 40000 samples for training and 3000 samples for testing. Each sample consists of 20 consecutive radar echo frames and lasts for 3 hours, where the first 10 frames are with intervals of 6 minutes and the last 10 frames are with intervals of 12 minutes. The echo frame has 460 * 460 resolution and covers 460km * 398km region. We additionally split out 3000 samples from the training set and use them for validation.
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A dataset of low-illumination steel for industrial applications
In recent years, autonomous robots have become ubiquitous in research and daily life. Among many factors, public datasets play an important role in the progress of this field, as they waive the tall order of initial investment in hardware and manpower. However, for research on autonomous aerial systems, there appears to be a relative lack of public datasets on par with those used for autonomous driving and ground robots. Thus, to fill in this gap, we conduct a data collection exercise on an aerial platform equipped with an extensive and unique set of sensors: two 3D lidars, two hardware-synchronized global-shutter cameras, multiple Inertial Measurement Units (IMUs), and especially, multiple Ultra-wideband (UWB) ranging units. The comprehensive sensor suite resembles that of an autonomous driving car, but features distinct and challenging characteristics of aerial operations. We record multiple datasets in several challenging indoor and outdoor conditions. Calibration results and ground
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download: https://zenodo.org/records/15515662?token=eyJhbGciOiJIUzUxMiJ9.eyJpZCI6IjRjOThmMzRmLTJiMzYtNDFiOC1hMzAxLTI5NGE2YTNjM2M3ZCIsImRhdGEiOnt9LCJyYW5kb20iOiIxYTJjNTBiYzAzMmJmMGFlNjU2NTlkZjdhMmZlOTVkMiJ9.8XZaxBtcoxLDJcgSdNK20aQwoF1T0VElDpaOxg1tVioUzjk1CPP_SNmIhLnj0aiagpZ4qTu5EMPHaj_MZ66t4w
download: https://zenodo.org/records/15515662?token=eyJhbGciOiJIUzUxMiJ9.eyJpZCI6IjRjOThmMzRmLTJiMzYtNDFiOC1hMzAxLTI5NGE2YTNjM2M3ZCIsImRhdGEiOnt9LCJyYW5kb20iOiIxYTJjNTBiYzAzMmJmMGFlNjU2NTlkZjdhMmZlOTVkMiJ9.8XZaxBtcoxLDJcgSdNK20aQwoF1T0VElDpaOxg1tVioUzjk1CPP_SNmIhLnj0aiagpZ4qTu5EMPHaj_MZ66t4w
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The Burmese Handwritten Digit Dataset (BHDD) is a dataset project specifically created for recognizing handwritten Burmese digits. It is a Burmese version of MNIST dataset with a training set of 60,000 examples, and a test set of 27,561 examples.
Cataract is the leading cause of blindness worldwide, most affecting life in low- and middle-income countries (LMICs). The mainly used, most appropriate, and most cost-effective cataract surgical technique for LMICs is small incision cataract surgery (SICS). While algorithms have been developed for automated video analysis of surgical performance parameters for the cataract surgical technique predominantly used in high-income settings, so far there were no datasets nor algorithms for SICS available. This MICCAI challenge introduces the first SICS video dataset and offers teams the opportunity to evaluate the effectiveness of their phase recognition algorithms. The dataset of 155 patients was recruited at Sankara Eye Hospital in India.
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Carioca 1 dataset consists of 200 audios having frequency of 44 KHz