ShapeNet
ShapeNet is an ongoing effort to establish a richly-annotated, large-scale dataset of 3D shapes. We provide researchers around the world with this data to enable research in computer graphics, computer vision, robotics, and other related disciplines. ShapeNet is a collaborative effort between researchers at Princeton, Stanford and TTIC. ShapeNetCore ShapeNetCore is a subset of the full ShapeNet da
Pixar Universal Scene Description (USD)
What is Universal Scene Description? Universal Scene Description is an extensible framework and ecosystem for describing, composing, simulating, and collaborating within 3D worlds. Originally developed by Pixar Animation Studios, USD, also referred to as OpenUSD, is more than a file format. It’s an open-source 3D scene description used for 3D content creation and interchange among different tools.
深層学習による自然言語処理のコーパス まとめ｜npaka
深層学習による自然言語処理のコーパスをまとめました。 1. テキスト分類◎ livedoor ニュースコーパス
MVTec Anomaly Detection Dataset: MVTec Software
MVTec AD is a dataset for benchmarking anomaly detection methods with a focus on industrial inspection. It contains over 5000 high-resolution images divided into fifteen different object and texture categories. Each category comprises a set of defect-free training images and a test set of images with various kinds of defects as well as images without defects. Pixel-precise annotations of all anoma
LFW Face Database : Main
On October 29th at ICCV 2019 in Seoul, the creators of LFW were honored with the Mark Everingham Award for service to the Computer Vision Community. Thanks to all that have participated in making LFW a success! New results page: We have recently updated and changed the format and content of our results page. Please refer to the new technical report for details of the changes. Labeled Faces in the
Face Recognition Homepage - Databases
DATABASES When benchmarking an algorithm it is recommendable to use a standard test data set for researchers to be able to directly compare the results. While there are many databases in use currently, the choice of an appropriate database to be used should be made based on the task given (aging, expressions, lighting etc). Another way is to choose the data set specific to the property to be teste
Workstyleラボ｜Acall｜note
AcallのWorkstyleラボへようこそ！ 人々の「くらし」と「はたらく」を自由にデザインできる世界を実現するため、Practice and Spread（実践と発信）をするアカウントです。私たちの働き方や海外トレンドなど、ワークスタイル全般について発信します。
人間参加型（human-in-the-loop）機械学習とは？
We help companies test and improve machine learning models via our global AI Community of 1 million+ annotators and linguists. Our proprietary Ground Truth AI training platform handles all data types across 500+ languages and dialects. Our AI Data Solutions vastly enhance AI systems across a range of applications from advanced smart products, to better search results, to expanded speech recognitio
心理統計学の授業で教材に使えるオープンデータ集
はじめに 統計学の講義や実習の際に使える心理系のデータセットをまとめました。アヤメの分類や経済統計もいいですが、やはり心理学に関連したデータを使う方が心理系の学生には興味をもって統計を学べると思います。ここには私が授業でよく使っているものをリストしました。他に良いものがあれば教えて下さい。 Open Stats Lab https://sites.trinity.edu/osl Psychological Science 誌に掲載された論文のデータが公開されています。データだけでなく、論文の概要や実習の手引きなども揃っています。回帰分析や因子分析など統計手法ごとに分類されているので、教材を選ぶ際にとても便利です。 datarium パッケージ https://rpkgs.datanovia.com/datarium/ R のパッケージです。パッケージをインストールすればすぐ使えるようになる
Stanford Large Network Dataset Collection
Open research positions in SNAP group are available at undergraduate, graduate and postdoctoral levels. Social networks : online social networks, edges represent interactions between people Networks with ground-truth communities : ground-truth network communities in social and information networks Communication networks : email communication networks with edges representing communication Citation
Proxy Virtual Worlds Virtual KITTI | Xerox Research Centre Europe
Computer Vision research Making everyday interaction with visual content simple Virtual KITTI dataset Virtual KITTI is a photo-realistic synthetic video dataset designed to learn and evaluate computer vision models for several video understanding tasks: object detection and multi-object tracking, scene-level and instance-level semantic segmentation, optical flow, and depth estimation. Virtual K
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Papers with Code - MOT20 Benchmark (Multi-Object Tracking)
Elizabeth Bondi-Kelly - DATASET
Multi-View Car Dataset
Dataset Zoo
Papers with Code - Glint360K Dataset
GitHub - aws-samples/amazon-lookout-for-vision: Lookout For Vision Workshop
GitHub - JingchunCheng/All-Age-Faces-Dataset: All-Age-Faces (AAF) Database.
Open Datasets
VOT2015 Challenge | Home