Licensed Video Datasets for AI Training
License wholly owned, professionally produced video datasets for AI training and machine learning, including video understanding, action recognition, temporal analysis, multimodal AI, generative video, computer vision, and model evaluation.
Datasets can be configured by subject, action, sequence length, temporal structure, viewpoint, camera movement, resolution, frame rate, metadata, annotations, release requirements, usage rights, and delivery format. Choose an existing collection, a curated subset of our archive, or custom video produced to specification.
Featured Datasets
Explore sample licensed datasets across image, video, audio, and text collections.
Video Data by Model Task
Configure archive-curated or custom-produced video data around the model task, sequence structure, visual coverage, and annotation depth required by the training or evaluation workflow.
Video Classification and Temporal Understanding
Video clips or ordered sequences for event classification, scene progression, temporal continuity, motion understanding, and sequence-level prediction.
Human Activity and Action Recognition
Human activity recognition datasets for actions, gestures, behavior, multi-step procedures, participant interaction, and human-object interaction.
Object Interaction and Tracking
Video showing objects being used, moved, carried, operated, exchanged, or transformed, with object continuity, interaction states, tracks, boxes, or temporal labels where commissioned.
Camera Motion and Multi-View Analysis
Camera motion annotations and synchronized multi-view video for viewpoint analysis, camera-aware models, aligned perspective comparison, and motion-aware generation.
Video-Text and Multimodal Learning
Multimodal video datasets can align clips with captions, descriptions, transcripts, audio, or other text for retrieval, grounding, captioning, question answering, and vision-language model development.
Generative Video and Model Evaluation
Video data for motion learning, temporal consistency, transformation workflows, synthetic-content analysis, and video model evaluation across defined content and capture conditions.
Video Content and Capture Coverage
Wavebreak Media can assess existing footage and custom production across human-centered, environmental, professional capture, and structured video categories. Availability is confirmed against the required content, sequence depth, technical specifications, and release criteria.
Human Motion and Procedural Activity
Human Motion Dataset DV01 and long-form procedural video cover actions, gestures, complete activities, multi-step tasks, and human-object interactions.
Sports, Fitness, and Movement
Sports Dataset DV06 and the broader Sports Video Dataset provide athletic movement, training, exercise, and human-motion sequences.
Lifestyle and Human-Object Interaction
Available footage includes food preparation, product use, device handling, workplace activity, healthcare and wellness settings, retail, household routines, and other everyday human-object interactions.
Urban Life and Mobility
Urban City Life and Mobility Video covers pedestrian movement, commuting, navigation, transportation contexts, public environments, and social interaction.
Professional RAW and Cinema Capture
Blackmagic RAW, RED R3D RAW, and DJI Ronin ProRes RAW collections provide native professional video formats and available camera metadata.
Source-to-Output Video Workflows
Raw-to-edited video pairings connect source footage with corresponding edited outputs for video transformation, editing, rendering, and generative workflow research.
Temporal, Visual, and Technical Variation
Video dataset quality depends on more than clip count. Depending on the model objective, datasets can be selected or produced to cover variation across time, subjects, scenes, camera behavior, and capture characteristics.
- Complete sequences, trimmed clips, long-form procedures, action transitions, and different sequence durations
- Action speed, repetition, movement intensity, pauses, ordering, and execution-style variation
- Subject continuity, participant count, object interaction, object-state changes, and scene progression
- Camera viewpoint, distance, framing, orientation, stabilization, movement, and synchronized perspectives
- Resolution, frame rate, codec, bitrate, standard-speed, slow-motion, RAW, and other capture characteristics where available
- Indoor and outdoor environments, lighting, backgrounds, occlusion, clutter, wardrobe, and contextual variation
Labels, Metadata, and Dataset Structure
Selected video assets can be prepared with project-specific structure and metadata. Annotation depth depends on the source collection and agreed scope.
- Asset and sequence structure - stable asset IDs, clip or sequence IDs, category hierarchies, file relationships, sequence grouping, and defined inclusion rules.
- Temporal and spatial annotations - clip labels, timestamps, action segments, scene boundaries, boxes, tracks, keypoints, pose, or interaction labels where commissioned.
- Descriptive and technical metadata - captions, descriptions, keywords, subjects, scenes, duration, resolution, frame rate, codec, camera information, and other available fields.
- Split and delivery controls - train, validation, and test grouping; shoot-, subject-, location-, or sequence-aware splits; near-duplicate rules; manifests; checksums where required; and organized delivery structures.
Video datasets are licensed under dataset-specific commercial terms. Available provenance and release documentation can be supplied for legal and compliance review. Packaging, transfer, and dataset delivery security requirements are agreed during dataset evaluation.
Video Dataset Options
Existing collections, archive curation, and custom production can be used separately or combined under one video dataset specification.
Ready-Made Video Datasets
Review current collections in the Dataset Library to assess available volume, sample assets, technical specifications, metadata, and licensing options.
Archive-Curated Video Datasets
Build a project-specific corpus from Wavebreak Media’s wholly owned archive when existing subjects, actions, environments, sequence characteristics, formats, and release coverage match the brief.
Custom Video Dataset Production
Commission custom video data when existing footage cannot provide the required actions, participants, environments, viewpoints, repetitions, camera setup, technical characteristics, or class balance.
Why Wavebreak Media for Video Datasets
Wavebreak Media has produced professional visual content since 2005 and manages more than one million wholly owned video assets. The archive spans human activity, lifestyle, sports, workplaces, products, urban environments, professional camera formats, motion graphics, and other commercially produced video categories.
Projects can combine archive curation with custom production, project-defined annotations, technical filtering, quality controls, and licensing for the intended AI use. This allows buyers to expand an existing dataset or build a new corpus around defined model and coverage requirements.
Frequently Asked Questions (FAQ)
Video datasets for AI training are structured collections of video clips or sequences used to train, fine-tune, evaluate, or benchmark AI and machine-learning models. Unlike isolated images, video preserves motion, temporal order, subject continuity, object interactions, camera behavior, and scene changes across frames.
Yes. Video datasets can be licensed under dataset-specific commercial terms defining permitted uses such as model training, fine-tuning, evaluation, deployment, and product development. Available provenance and applicable model or property release documentation can be supplied for legal and compliance review.
Yes. Additional labels or annotations can be created against an agreed schema, quality criteria, and validation process. Depending on the task, this can include clip labels, timestamps, action segments, scene boundaries, object boxes, tracks, keypoints, pose, captions, or other project-defined fields.
Custom production is appropriate when existing or archive-curated footage cannot meet required actions, participants, environments, viewpoints, sequence lengths, camera behavior, technical characteristics, release coverage, class balance, or target volume.
Use video when motion, action order, duration, interaction, subject continuity, or temporal context affects the task. Use image datasets for AI training when the required visual information can be learned or evaluated from individual frames.
Video datasets are centered on sequential visual media and may include auxiliary labels or metadata. Video-text and multimodal datasets explicitly align clips with captions, descriptions, transcripts, audio, or other text for retrieval, grounding, captioning, question answering, and vision-language model development.
Request Video Datasets for AI Training
Send the model task, required content, sequence characteristics, subjects or actions, camera and technical requirements, target volume, annotations, metadata, split rules, rights requirements, and delivery format. Wavebreak Media will assess ready-made, archive-curated, and custom video options against the specification.
