CelebFaces: Face dataset with more than 200,000 celebrity images, each with 40 attribute annotations. Sample images from the CelebFaces Dataset. Flowers: Dataset of images of flowers commonly found in the UK consisting of 102 different categories. Each flower class consists of between 40 and 258 images with different pose and light variations.

URL: https://datahub.cmap.illinois.gov/dataset/9f96d432-fb48-42a8-ba9b- Origin and destination person trip matrices in Emme batch format for analysis year

Gallagher Collection Person Dataset Most face recognition databases contain images of faces shot under lab conditions. My collection is a set of typical digital image snapshots, captured in real life at real events of real people with real A multi-task/multi-dataset training pytorch framework. Framework was built for "Visual Person Understanding through Multi-Task and Multi-Dataset Learning". It can train the following tasks: Person ReIdentification; Person Pose Estimation; Person Body Parts Segmentation; Person Attribute Learning; Person Classification; On the following datasets: Market-1501 The HDA dataset is a multi-camera high-resolution image sequence dataset for research on high-definition surveillance.

Person dataset

INRIA Dataset 是一个行人检测数据集，其图片库被分为只有车、只有人、有车有人和无车无人四个类别，其中正样本为 PNG 格式，负样本为 JPG 格式，该数据集包含具有相应注释文件的原始图像和标准化格式图像两类。 […] Human Conversational Interaction Dataset - a human interaction recognition Activity Dataset - first-person videos taken from a camera mounted on top of a Mar 10, 2018 The quality of human segmentation in most public datasets is not satisfied our requirements and we had to create our own dataset with high The Caltech Pedestrian Dataset consists of approximately 10 hours of 640x480 30Hz video taken from a vehicle driving through regular traffic in an urban The objects we are interested in these images are pedestrians. Each image will have at least one pedestrian in it. The heights of labeled pedestrians in this COCO is a large-scale object detection, segmentation, and captioning dataset. 91 stuff categories; 5 captions per image; 250,000 people with keypoints Apr 6, 2020 available datasets are exclusively suitable for the pedestrian tection, Object Tracking, Person Re-identification, Person Search.

The goal of this dataset was to utilize the financial and email data from Enron to build a predictive, analytic model that could identify whether an individual could be considered a "person of interest" (POI). Since the dataset contained labeled data--culpable persons were already listed as POIs--the value of this model on the existing dataset

Look into Person (LIP) is a new large-scale dataset, focus on semantic understanding of person. Following are the detailed descriptions. 1.1 Volume.

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bend/bow (at 19 Jun 2020 The dataset consists of human annotations that enable pixel-wise reconstruction of 3D surfaces for 140,000 randomly sampled Internet images. Stanford 40 Actions ---- A dataset for understanding human actions in still images .

>2 hours raw videos, 32,823 labelled frames,132,034 object instances. INRIA Person Dataset Only upright persons (with person height > 100) are marked in each image.
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It consists of 6982 images, with a total of 5023 falls and 2275 non falls corresponding to people in conventional situations.

People Data Labs builds people data. Use our dataset of 1.5 billion unique person profiles to build products, enrich person profiles, power predictive modeling/AI, analysis, and more. We work with technical teams as their engineering focused people data partner. We present a new large-scale dataset focusing on semantic understanding of person.
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People Snapshot Dataset. Video Based Reconstruction of 3D People Models of arbitrary people from a single, monocular video in which a person is moving.

13. Yale Face Database. The Yale Face Database is a dataset containing 165 GIF images of 15 different subjects in a variety of lighting conditions. The CrowdHuman dataset is large, rich-annotated and contains high diversity. CrowdHuman contains 15000, 4370 and 5000 images for training, validation, and testing, respectively.

“No unauthorized person has access to the premises (access card and code) “Pseudonymous data SPECIFICATION will be stored in DATABASE or similar

1.2 Diversity The INRIA Person dataset is a dataset of images of persons used for pedestrian detection. It consists of 614 person detections for training and 288 for testing. Re-ID Datasets. Most recent studies on person re-id are based upon data-driven methods [47, 16, 49, 33, 42], and there emerges a lot of person re-identiﬁcation datasets. Among these datasets, VIPeR [14] is the earliest and most common dataset, containing 632 identities and 1,264 im-ages captured by 2 cameras.

detect person dlib. Test example detect person with dlib vector machine utility. Dataset INRIA person: http://pascal.inrialpes.fr/data/human/.