19,997 machine learning datasets
19,997 dataset results
This dataset contains 12,500 meter images acquired in the field by the employees of the Energy Company of Paraná (Copel), which directly serves more than 4 million consuming units, across 395 cities and 1,113 locations (i.e., districts, villages and settlements), located in the Brazilian state of Paraná.
GUITAR-FX-DIST is a dataset of electric guitar recordings processed with overdrive, distortion, and fuzz audio effects. It was developed for research in guitar effects detection, classification, and parameters estimation. The dataset is also useful for research on automatic music transcription, intelligent music production, signal processing, or effects modelling. It contains both unprocessed and processed recordings.
GUITAR-FX-DIST is a dataset of electric guitar recordings processed with overdrive, distortion and fuzz audio effects. It was developed for research in guitar effects detection, classification and parameters estimation. The dataset is also useful for research on automatic music transcription, intelligent music production, signal processing or effects modelling. It contains both unprocessed and processed recordings.
GUITAR-FX-DIST is a dataset of electric guitar recordings processed with overdrive, distortion and fuzz audio effects. It was developed for research in guitar effects detection, classification and parameters estimation. The dataset is also useful for research on automatic music transcription, intelligent music production, signal processing or effects modelling. It contains both unprocessed and processed recordings.
GUITAR-FX-DIST is a dataset of electric guitar recordings processed with overdrive, distortion and fuzz audio effects. It was developed for research in guitar effects detection, classification and parameters estimation. The dataset is also useful for research on automatic music transcription, intelligent music production, signal processing or effects modelling. It contains both unprocessed and processed recordings.
Weather reports of 57 stations in the east coast.
SyntheticFur is a dataset for neural rendering. Collecting and generating high quality fur images is an expensive and difficult process that requires content specialists to generate. By releasing this unique dataset with high quality lighting simulation via ray tracing, this can save time for researchers seeking to advance studies of fur rendering and simulation, without having to recreate this laborious process.
Scroll Readability Dataset contains scroll interactions of 598 participants reading advanced and elementary texts from the OneStopEnglish corpus.
The Sequence labellIng evaLuatIon benChmark fOr spoken laNguagE (SILICONE) benchmark is a collection of resources for training, evaluating, and analyzing natural language understanding systems specifically designed for spoken language. All datasets are in the English language and covers a large variety of domains (e.g daily life, scripted scenarios, joint task completion, phone call conversations, and televsion dialogue). Some datasets additionally include emotion and/or sentiment labels.
The UAVVaste dataset consists to date of 772 images and 3716 annotations. The main motivation for creation of the dataset was the lack of domain-specific data. The datasets that are widely used for object detection evaluation benchmarking. The dataset is made publicly available and is intended to be expanded.
About the Dataset: 4 classes of drinking waste: Aluminium Cans, Glass bottles, PET (plastic) bottles and HDPE (plastic) Milk bottles. rawimgs - images of 4 classes of waste YOLO_imgs - images of 4 classes of waste with corresponding txt file (annotations for YOLO framework) labels.txt - labels of the classes
Boombox is a multi-modal dataset for visual reconstruction from acoustic vibrations. Involves dropping objects into a box and capturing resulting images and vibrations. Used for training ML systems that predict images from vibration.
The ARC-100 dataset was collected as part of a prototype retail checkout system titled ARC (Automatic Retail Checkout). It consists of 31,000 $640\times480$ RGB images of 100 commonly found retail items in Lahore, Pakistan. Each retail item has 310 images captured at various logical orientations (on a black, matte finish conveyor belt) by a Logitech C310 webcam, under a wooden hood frame illuminated by LED strips (luminance set to approximately $70lx$). In the proposed setup, images were pre-processed and standardized before feeding into a Convolutional Neural Network for identification.
This dataset contains:
This dataset gathers three types of pairs: Title-to-Abstract (Training: 22,811/Development: 2095/Test: 2095), Abstract-to-Conclusion and Future work (Training: 22,811/Development: 2095/Test: 2095), Conclusion and Future work-to-Title (Training: 15,902/Development: 2095/Test: 2095) from PubMed. Each pair contains a pair of input and output as well as the corresponding terms(from original KB and link prediction results).
This dataset gathers 14,857 entities, 133 relations, and entities corresponding tokenized text from PubMed. It contains 875,698 training pairs, 109,462 development pairs, and 109,462 test pairs.
ReviewRobot Dataset Overview This repository contains data for paper ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis. [Dataset]
DanbooRegion is a dataset consists of 5377 in-the-wild illustration downloaded from the Danbooru2018 and region segment map annotation pairs
Voice Navigation is a large-scale dataset of Chinese speech for slot filling, containing more than 830,000 samples.
This is a public dataset for evaluating multi-object detection algorithms in active Terahertz imaging resolution 5 mm by 5 mm.