During the first quarter of 2024, YouTube Shorts collected fewer views than long-form videos on the popular social video platform. Overall, short-format videos on YouTube generated approximately *** views on average. In comparison, long-form videos on YouTube generated on average ***** views in the examined period.

The dataset contains single-shot videos taken from moving cameras in underwater environments. The first shard of a new Marine Video Kit dataset is presented to serve for video retrieval and other computer vision challenges. In addition to basic meta-data statistics, we present several insights based on low-level features as well as semantic annotations of selected keyframes. 1379 videos with a length from 2 s to 4.95 min, with the mean and median duration of each video is 29.9 s, and 25.4 s, respectively. We capture data from 11 different regions and countries during the time from 2011 to 2022.

The dataset includes comment ids from videos featuring Bill Gates during COVID-19 on YouTube and R script.

As of January 2025, the hit "Nunca Es Suficiente", from Mexican musical group Los Ángeles Azules, featuring singer Natalia Lafourcade, was the most-watched music video on YouTube by Mexican artists, with almost **** billion views. The song "Lo Aprendí de Ti" by the Latin duo Ha-Ash, from their live album "Primera Fila - Hecho Realidad (En Vivo)", ranked second, with more than *** billion views.

These dataset are review from YouTube content analysis papers in Health. Data used to publish a review paper into the Revista Cubana de Información en Ciencias de la Salud.This dataset are a list of scientific papers that have been reviewed to analise how health care scientist classify videos they analyse.Este conjunto de datos es una revisión de artículos sobre el análisis de contenido en YouTube en el campo de la salud. Este dataset se ha empleado para publicar un articulo en la Revista Cubana de Información en Ciencias de la Salud. Este dataset es una lista de articulos científicos que han sido revisados para analizar como los científicos en atención médica clasifican los videos que analizan.

This dataset contains videos for 18 office actions recorded inside office and covering many actions that can be done by employees in an office. It is part of the study published in https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9014841

The videos are split into 2 parts: front view and side view perspectives.

Part 1 - Front View Perspective: www.kaggle.com/basselsafwat/oa18-front-view Part 2 - Side View Perspective: www.kaggle.com/basselsafwat/oa18-side-view

The dataset is recorded with the cooperation of the theatre team of the faculty of Computer Science at Ain Shams University. The ultimate aim is to provide more data for the study of actions recognition and localization problem for the indoor office problem. I would like to thank them all for their time and performance which looked very realistic while recording this dataset.

The labeling of this dataset is made using a built tool, which is also made available at https://github.com/b-safwat/video_labeling_tool_for_action_detection

If you use this dataset or part of it in your study, you would need to cite the original work as follow:

Chawky BS, Marey M, Shedeed HA. OA18: A New Office Actions Benchmark. In 2019 Ninth International Conference on Intelligent Computing and Information Systems (ICICIS) 2019 Dec 8 (pp. 32-38). IEEE.

Feel free to contact me on bassel.safwat92@gmail.com

Japan Output Price Index: Mfg: EM: HA: Video Recording & Playback Eq data was reported at 39.200 1995=100 in Jun 2005. This records an increase from the previous number of 39.000 1995=100 for May 2005. Japan Output Price Index: Mfg: EM: HA: Video Recording & Playback Eq data is updated monthly, averaging 71.550 1995=100 from Jan 1995 (Median) to Jun 2005, with 126 observations. The data reached an all-time high of 109.300 1995=100 in Jan 1995 and a record low of 39.000 1995=100 in May 2005. Japan Output Price Index: Mfg: EM: HA: Video Recording & Playback Eq data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.I288: Output Price Index: Gross Weighted: 1995=100: Major Commodity.

The Sunny Day City Road Dash Cam Video Dataset yana ɗaukar ƙwaƙƙwaran motsin hanyoyin birni a ƙarƙashin yanayin rana, mai mahimmanci don haɓaka tsarin tuki mai cin gashin kansa. Ana yin rikodin wannan saitin bayanan tare da manyan masu rikodin tuƙi, suna alfahari sama da ƙudurin 1920 x 1080 da ƙimar firam sama da 33fps, yana tabbatar da bayyananniyar hoto da kama motsin ruwa. Ya haɗa da akwatunan ɗaure da alamun sama da nau'ikan abubuwan birni guda 10 na yau da kullun, gami da mutane, motoci, kekunan lantarki, motoci, manyan motoci, da ƙari, suna ba da filin horarwa mai kyau don AI don ganewa da amsa abubuwa daban-daban a cikin yanayin biranen hasken rana.

Movie data raw

  Resource

Youtube: video(4k), audio tách riêng, có file subtitle Bố già Hẻm cụt

Web lậu: video, audio chung, có | không subtitle (phải quay mh bằng obs do web chặn tải phim) Đất rừng phương Nam Nhà bà nữ (không có subtitle)

  File Extension

.webm: video only, 4k .mp3: audio .srt: subtitle .mp4: video (hd) + audio

  Movie | Actor

BO_GIA_TAP_1|BỐ GIÀ - TẬP 1-TRẤN THÀNH, LÊ GIANG, ANH ĐỨC, LÂM VỸ DẠ, TRÚC NHÂN, TUẤN TRẦN… See the full description on the dataset page: https://huggingface.co/datasets/hahunavth/TT-video-raw.

The Multimedia (music and video) Mobile Phone market has witnessed significant evolution over the past decade, driven by advancements in technology and changing consumer preferences. As mobile devices increasingly become the primary medium for entertainment, the demand for high-quality audio and video experiences ha

Cifras de población a nivel anual - Número de personas para total como sexo y Vid de Ojeda, La como municipio de residencia

A fecha de abril de 2024, el videoclip de la canción Despacito, interpretada por Luis Fonsi y Daddy Yankee, lidera la clasificación con más de 8.000 millones de visualizaciones en YouTube. El sencillo, que se estrenó en enero de 2017, se ha convertido así en el vídeo musical más visto de la historia de la plataforma. De hecho, su éxito llevó al lanzamiento de una posterior versión del tema con la participación del cantante canadiense Justin Bieber, si bien no tuvo tan buena acogida como la original. Por su parte, el vídeo oficial de Shape of You de Ed Sheeran se sitúa en segunda posición, mientras que See You Again completa el podio. La canción de Wiz Khalifa en colaboración con Charlie Puth formó parte de la banda sonora de Fast & Furious 7, última entrega de la saga con el fallecido Paul Walker. El éxito de YouTube Desde su nacimiento en 2005 y su posterior adquisición por parte de Google en 2006, YouTube no ha dejado de crecer hasta convertirse, tras su empresa matriz, en la página web más visitada del mundo, así como en la segunda red social más popular. A fecha de enero de 2024, ya contaba globalmente con cerca de 2.500 millones de usuarios activos y sus ingresos, teniendo en cuenta únicamente aquellos generados gracias a la publicidad, superaron los 31.500 millones de dólares en 2023. Además, se trata en la actualidad de la segunda marca más fuerte a nivel mundial, con una puntuación de BSI de 92,7. El streaming de vídeo No es un secreto que el vídeo bajo demanda ha experimentado un crecimiento masivo en los últimos años. Netflix, Amazon Prime Video y Disney+ acumulan más de 150 millones de suscriptores en todo el mundo cada uno, convirtiendo a estos servicios en una parte tan crucial de la industria del entretenimiento que incluso han comenzado a influir en la propia cultura pop. Por otra parte, cada vez son más el número de horas dedicadas al visionado de transmisiones en vivo de videojuegos. Perfiles como Ninja y Dream, que han logrado crear una amplia comunidad en YouTube y Twitch, concentran millones de personas frente a las pantallas de sus ordenadores cada vez que emiten sus partidas de Fortnite o Minecraft.

https://github.com/hukenovs/hagrid/blob/master/images/hagrid.jpg?raw=true" alt="">

We introduce a large image dataset HaGRID (HAnd Gesture Recognition Image Dataset) for hand gesture recognition (HGR) systems. You can use it for image classification or image detection tasks. Proposed dataset allows to build HGR systems, which can be used in video conferencing services (Zoom, Skype, Discord, Jazz etc.), home automation systems, the automotive sector, etc.

HaGRID size is 716GB and dataset contains 552,992 FullHD (1920 × 1080) RGB images divided into 18 classes of gestures. Also, some images have no_gesture class if there is a second free hand in the frame. This extra class contains 123,589 samples. The data were split into training 92%, and testing 8% sets by subject user-id, with 509,323 images for train and 43,669 images for test.

https://github.com/hukenovs/hagrid/raw/master/images/gestures.jpg" alt="">

The dataset contains 34,730 unique persons and at least this number of unique scenes. The subjects are people from 18 to 65 years old. The dataset was collected mainly indoors with considerable variation in lighting, including artificial and natural light. Besides, the dataset includes images taken in extreme conditions such as facing and backing to a window. Also, the subjects had to show gestures at a distance of 0.5 to 4 meters from the camera.

Annotations

The annotations consist of bounding boxes of hands with gesture labels in COCO format [top left X position, top left Y position, width, height]. Also, annotations have 21 landmarks in format [x,y] relative image coordinates, markups of leading hands (left of right for gesture hand) and leading_conf as confidence for leading_hand annotation. We provide user_id field that will allow you to split the train / val dataset yourself. json "0534147c-4548-4ab4-9a8c-f297b43e8ffb": { "bboxes": [ [0.38038597, 0.74085361, 0.08349486, 0.09142549], [0.67322755, 0.37933984, 0.06350809, 0.09187757] ], "landmarks"[ [ [ [0.39917091, 0.74502739], [0.42500172, 0.74984396], ... ], [0.70590734, 0.46012364], [0.69208878, 0.45407018], ... ], ], "labels": [ "no_gesture", "one" ], "leading_hand": "left", "leading_conf": 1.0, "user_id": "bb138d5db200f29385f..." }

Downloads

We split the train dataset into 18 archives by gestures because of the large size of data. Download and unzip them from the following links:

Trainval

train_val annotations: ann_train_val

Test

| Test...

Cifras de población a nivel anual - Número de personas para total como sexo y Vid y Barrios, La como municipio de residencia

La víctima fue atacada en el barrio San Antonio cuando se dirigía a su trabajo.

Cifras de población a nivel anual - Porcentaje de variación de Número de personas con respecto al año anterior para total como sexo y Vid y Barrios, La como municipio de residencia. Cifras de población a nivel semestral - Porcentaje de variación de Número de personas con respecto al mismo semestre del año anterior para total como sexo, total como grupo quinquenal de edad, España como país de residencia y Total como país de nacionalidad

El Mapa Digital Rendimiento de Vid (Uva), perteneciente al Sistema de Información Geográfica para la Planeación y el Ordenamiento Territorial – SIGOT, contiene información a nivel municipal referente al número de toneladas de Vid (Uva) por hectárea (Ton/Ha) producidas por la entidad territorial, años entre 2007 y 2014. Información proporcionada por el Ministerio de Agricultura y Desarrollo Rural

China Commodity Retail: Year to Date: Electronic Publication & Video Product data was reported at 7,250.000 RMB mn in Dec 2009. This records an increase from the previous number of 6,560.000 RMB mn for Nov 2009. China Commodity Retail: Year to Date: Electronic Publication & Video Product data is updated monthly, averaging 2,220.000 RMB mn from Jan 2003 (Median) to Dec 2009, with 84 observations. The data reached an all-time high of 7,250.000 RMB mn in Dec 2009 and a record low of 220.000 RMB mn in Jan 2003. China Commodity Retail: Year to Date: Electronic Publication & Video Product data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HA: Retail Sales of Consumer Goods: Above Designated Size Enterprise: by Commodity .

China Commodity Retail: YoY: Electronic Publication & Video Product data was reported at 10.500 % in Dec 2009. This records an increase from the previous number of 0.900 % for Nov 2009. China Commodity Retail: YoY: Electronic Publication & Video Product data is updated monthly, averaging 10.500 % from Jan 2001 (Median) to Dec 2009, with 108 observations. The data reached an all-time high of 48.400 % in Jun 2007 and a record low of -40.000 % in Nov 2001. China Commodity Retail: YoY: Electronic Publication & Video Product data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HA: Retail Sales of Consumer Goods: Above Designated Size Enterprise: by Commodity .

Comprehensive dataset of 6 Video editing services in Hà Đông, Hanoi, Vietnam as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.