TensorFlow Datasets
TensorFlow Datasets は、TensorFlow や他の Python ML フレームワーク（JAX など）で使用できるデータセットのコレクションです。 データセットはすべて tf.data.Datasets として公開され、使いやすく高性能な入力パイプラインを実現できます。 開始にあたっては、ガイドとデータセットのリストをご覧ください。 import tensorflow.compat.v2 as tf import tensorflow_datasets as tfds # Construct a tf.data.Dataset ds = tfds.load('mnist', split='train', shuffle_files=True) # Build your input pipeline ds = ds.shuffle(1024).batch(32).pre
AVA: A Video Dataset of Atomic Visual Action
AVA is a project that provides audiovisual annotations of video for improving our understanding of human activity. Each of the video clips has been exhaustively annotated by human annotators, and together they represent a rich variety of scenes, recording conditions, and expressions of human activity. We provide the following annotations. AVA-Kinetics, our latest release, is a crossover between th
Moments in Time
Moments in Time Dataset A large-scale dataset for recognizing and understanding action in videos Moments is a research project dedicated to building a very large-scale dataset to help AI systems recognize and understand actions and events in videos. Today, the dataset includes a collection of one million labeled 3 second videos, involving people, animals, objects or natural phenomena, that capture
Classical Piano Midi Page - Main Page
Main Page This site contains music files of different formats for all friends of classical music. The pieces are developed at a digital piano by means of a sequencer on MIDI base and then converted to audio formats. In addition some scores and audios, showing the scores during playing, are available. The archive is extended permanently. MIDI Files Albéniz, Bach, Balakirew, Beethoven, Borodin, Brah
Registry of Open Data on AWS
The Registry of Open Data on AWS is now available on AWS Data Exchange All datasets on the Registry of Open Data are now discoverable on AWS Data Exchange alongside 3,000+ existing data products from category-leading data providers across industries. Explore the catalog to find open, free, and commercial data sets. Learn more about AWS Data Exchange About This registry exists to help people discov
GitHub - harvardnlp/boxscore-data
Data used in Challenges in Data-to-Document Generation (Wiseman, Shieber, Rush; EMNLP 2017). If you use this data, please cite the above paper. Update (9/3/20): Please consider using the SportSett:Basketball dataset rather than the standard Rotowire dataset described below. Among other things, SportSett:Basketball corrects some dataset contamination issues, where box- and line-scores appear in mul
A New Multi-Turn, Multi-Domain, Task-Oriented Dialogue Dataset - The Stanford Natural Language Processing Group
Data Collection Our data was collected using a Wizard-of-Oz scheme inspired by that of Wen et. al. In our scheme, users had two potential modes they could play: Driver and Car Assistant. In the Driver mode, users were presented with a task that listed certain information they were trying to extract from the Car Assistant as well as the dialogue history exchanged between Driver and Car Assistant up
DFAUST
Abstract While the ready availability of 3D scan data has influenced research throughout computer vision, less attention has focused on 4D data; that is 3D scans of moving non-rigid objects, captured over time. To be useful for vision research, such 4D scans need to be registered, or aligned, to a common topology. Consequently, extending mesh registration methods to 4D is important. Unfortunately,
The NSynth Dataset
A large-scale and high-quality dataset of annotated musical notes. Download Contents Motivation Description Format Files Example Features Feature Encodings Instrument Sources Instrument Families Note Qualities Example Statistics Instrument Classes Qualitiy Co-occurrences License How to Cite Updates Motivation Recent breakthroughs in generative modeling of images have been predicated on the availab
DeepFashion Database
News 2022-06-01 We release the DeepFashion-MultiModal dataset with rich multi-modal annotations, including manually annotated human parsing labels, manually annotated human keypoints, manually annotated fine-grained labels and textual descriptions. 2020-05-04 Parsing mask annotations and dense pose annotations have been added to “In-shop Clothes Retrieval Benchmark”. Fine-grained attribute annotat
AudioSet
A sound vocabulary and datasetAudioSet consists of an expanding ontology of 632 audio event classes and a collection of 2,084,320 human-labeled 10-second sound clips drawn from YouTube videos. The ontology is specified as a hierarchical graph of event categories, covering a wide range of human and animal sounds, musical instruments and genres, and common everyday environmental sounds. By releasing
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning Abstract When building artificial intelligence systems that can reason and answer questions about visual data, we need diagnostic tests to analyze our progress and discover shortcomings. Existing benchmarks for visual question answering can help, but have strong biases that models can exploit to correctly answer
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Musescore.com | The world's largest free sheet music catalog and community
Earth on AWS
GitHub - visipedia/inat_comp: iNaturalist competition details
GitHub - nightrome/cocostuff: The official homepage of the COCO-Stuff dataset.
https://20bn.com/datasets
GitHub - googlecreativelab/quickdraw-dataset: Documentation on how to access and use the Quick, Draw! Dataset.
Programs and Events – Google Research
