Custom AI Dataset Creation Services
Commission custom AI training data built around your model task, target coverage, technical format, metadata or annotation schema, licensing requirements, and acceptance criteria.
Wavebreak Media can assess owned source content before commissioning new production, authoring, annotation, or design work required to close documented coverage gaps.
Featured Datasets
Explore sample licensed datasets across image, video, audio, and text collections.
Custom AI Data Collection and Sourcing Options
Select one sourcing model or combine them under the approved dataset specification.
Archive-Curated Datasets
Select a project-specific subset from the Wavebreak Media Dataset Library by subject, activity, environment, format, metadata, and available release coverage.
Purpose-Built Data Production
Commission controlled image or video capture, editable templates, or human-authored text and documents when suitable source data is unavailable.
Hybrid Dataset Creation
Use eligible archive assets for available coverage, then add targeted production for missing classes, actions, viewpoints, environments, languages, layouts, or difficult cases.
Custom Dataset Types and AI Applications
Each dataset is configured for the buyer's model task rather than supplied as a generic collection.
Custom Image Datasets
Curate or produce image datasets for AI training covering generative AI, classification, object detection, segmentation, visual search, and model evaluation.
Custom Video Datasets
Curate or record video datasets for AI training covering generative video, activity recognition, motion analysis, object tracking, presenter systems, and temporal evaluation.
Custom Text Datasets
Create human-authored text datasets containing instructions, question-answer pairs, dialogues, summaries, classification records, retrieval examples, or evaluation items for LLM and NLP workflows.
Custom Document Datasets
Create document datasets for AI training from scratch or transform authorized client content for LLM, RAG, OCR, classification, extraction, and Document AI.
Custom Template Datasets
Curate or create editable template datasets for presentations, marketing, layered design, vectors, motion graphics, generative design, layout understanding, and component prediction.
Custom Multimodal Datasets
Create multimodal AI datasets by aligning image-text, video-text, synchronized video-audio, or other coordinated data for cross-modal training, retrieval, and evaluation.
Define Your Custom Dataset Specification
The approved specification defines project feasibility, production requirements, and measurable acceptance criteria for the final dataset.
- Model task and intended use: Training, fine-tuning, evaluation, benchmarking, enrichment, or coverage expansion.
- Content and coverage: Subjects, domains, classes, participants, actions, environments, languages, variation, quotas, exclusions, and difficult cases.
- Data and technical format: Modalities, volume, resolution, duration, aspect ratio, codecs, document or template formats, and file structure.
- Metadata and annotations: Taxonomies, stable IDs, labels, captions, fields, spatial or temporal annotations, and JSON, JSONL, CSV, or a project-defined schema.
- Quality and dataset splits: Acceptance thresholds, review rules, class balance, deduplication, leakage controls, train-validation-test splits, manifests, and version requirements.
- Rights requirements: Define permitted AI uses, required provenance, applicable release coverage, documentation, and any restrictions affecting source selection or production.
Custom Dataset Creation Process
Review the Brief
Confirm feasibility, clarify unresolved requirements, and identify constraints that affect scope.
Confirm Source and Pilot
Select the archive-curated, purpose-built, or hybrid route and validate representative output where a pilot is required.
Curate or Produce
Execute the approved sourcing plan and track progress against the agreed coverage requirements.
Annotate and Validate
Apply the approved schema and quality-control rules, resolve exceptions, and verify the acceptance criteria.
License and Deliver
Finalize permitted uses and provide the accepted files, manifests, and documentation through the agreed secure dataset delivery method.
Why Wavebreak Media as a Custom AI Training Data Provider?
Since 2005, Wavebreak Media has produced and managed an extensive image archive and more than one million wholly owned video assets covering people, activities, objects, workplaces, lifestyle settings, and other commercially relevant visual contexts.
Company-owned visual source assets provide a traceable starting point for custom projects. Available provenance, applicable releases, and dataset licensing and compliance requirements can be reviewed before the selected data is approved for the stated AI use.
Frequently Asked Questions (FAQ)
Yes, when the buyer is authorized to provide and use the material for the project. Source files, reference examples, exclusion lists, taxonomies, or existing annotations can be assessed alongside Wavebreak Media-sourced data, with permitted handling defined in the project agreement.
Potential exclusivity depends on the data source and commercial agreement. Exclusive newly produced data, non-exclusive archive content, annotations, derivative assets, permitted AI uses, and Wavebreak Media reuse rights must be defined explicitly in the project terms.
Pricing depends on the sourcing route, dataset volume, production requirements, authoring or design effort, annotation and QA complexity, licensing, and exclusivity. A quote is prepared against the approved brief.
Timing depends on feasibility findings, participant or location access, production windows, pilot feedback, buyer review and approval turnaround, and correction cycles. The schedule is confirmed after these dependencies are understood.
Yes, when the original specification, taxonomy, identifiers, and versioning rules support expansion. Additional classes, scenarios, formats, annotations, or evaluation slices can be scoped as a new version rather than mixed into the approved baseline without documentation.
No. Wavebreak Media can deliver data against measurable dataset acceptance criteria, but model performance also depends on model architecture, training procedures, existing data, evaluation design, and deployment conditions.
Request a Custom AI Dataset
Send the available dataset brief or core requirements. Wavebreak Media will assess feasibility and identify the information required to prepare a commercial scope.
