Welcome to the official Apple YouTube channel. Here you’ll find news about product launches, tutorials, and other great content.
Apple revolutionized personal technology with the introduction of the Macintosh in 1984. Today Apple continues to be a global leader in innovation with products like iPhone, iPad, Mac, Apple Watch and Apple Vision Pro. Our six software platforms (iOS, iPadOS, macOS, watchOS, tvOS, and visionOS) provide seamless experiences across Apple devices. Breakthrough services include the App Store, Apple Music, Apple Pay, and iCloud. And Apple keeps pursuing innovation with products like HomePod, Apple Fitness+, and Apple Card. Apple’s more than 160,000 employees are dedicated to making the best products on earth, and to leaving the world better than we found it.
Additional products include AirPods, AirTags, Apple Arcade, Apple Books, Apple News, Apple Podcasts, and Apple TV.
Welcome to Dropout's Youtube channel! We used to be CollegeHumor, but after 20 years, everyone getting fired, and launching a streaming service, we decided t...
Detailed photos and video footage of a wide variety of British classic sportswear engine bays including E-Type Jaguar, Austin Healey 3000, MGB, Triumph TR3, TR4, and TR6. Finding accurate footage of these subjects in nigh impossible. Classic Motor Films has unpublished footage of these subjects taken from every angle with panning to show 3D structure.
A comprehensive dataset of 750K+ furniture images sourced globally, featuring full EXIF data, including camera settings and photography details. Enriched with object and scene detection metadata, this dataset is ideal for AI model training in image recognition, classification & segmentation
A comprehensive dataset of 850K+ weather images sourced globally, featuring full EXIF data, including camera settings and photography details. Enriched with object and scene detection metadata, this dataset is ideal for AI model training in image recognition, classification & segmentation
Great stories about great cars. This channel features over 50 films focusing on highly detailed shots and wider shot story elements of classic cars. Cars include models from Porsche, BMW, Austin Healey, Jaguar, MG, and Triumph. More are being added.
Type: Video
Quantity: 50 hours
Size: 190GB
File Format: MP4, MOV
Clarity: 1080x1920 (mostly), 720x1280 (some), 480x640 (few)
Languages: Speech and music in Bulgarian, Russian and English
Years of home videos capturing kids growing up, playing, and celebrating life's little moments. Includes parties, birthdays, events, travel, cooking and more. This data can be used to train AI models in Human Behavior & Social Interactions, Object & Scene Recognition, Movement & Action Learning, Language & Speech Processing, Cultural & Lifestyle Insights, Temporal & Environmental Changes and "Normal Life" for better context awareness in general.
While the footage is not labelled or annotated, it can be upon request.
"Music can change the world". T-Series is India's largest Music Label & Movie Studio, believes in bringing world close together through its music.
T-Series is associated with music industry from past three decades, having ample catalogue of music comprising plenty of languages that covers the length & breadth of India. We believe after silence, nearest to expressing the inexpressible is Music. So, all the music lovers who believe in magic of music come join us and live the magic of music with T-Series.
Type: Video
Quantity: 200+ hours
Size: 700GB
Clarity: 1080p (70%), 4K (30%)
This dataset contains high-quality skateboarding footage, capturing a diverse range of tricks, falls, and human movements in real-world environments. It is ideal for AI training in motion recognition, human pose estimation, and action detection across various lighting conditions and perspectives. The footage includes different skaters, locations, and dynamic movements, making it valuable for machine learning applications in sports analytics, robotics, and video understanding. Perfect for AI companies developing computer vision models that require realistic human motion data.