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 curate eligible content from its wholly owned archive, produce new image or video data, create purpose-built human-authored text and documents, customize editable templates, or combine these sources in one structured dataset.
Featured Datasets
Explore sample licensed datasets across image, video, audio, and text collections.
Custom AI Data Collection, Curation, and Production
Wavebreak Media selects the sourcing approach against the required content, coverage, rights, technical specifications, budget, and timeline. A project can use archive curation, new data production, or both.
- Archive-curated datasets: Select a project-specific subset from eligible Wavebreak Media image and video assets by subject, participant, action, environment, format, technical quality, metadata, and available release coverage. Browse the Dataset Library.
- New custom data production: Commission controlled image or video capture, editable template production, or human-authored text and documents when the required data does not exist or archive coverage is insufficient.
- Hybrid dataset creation: Use eligible archive assets for scale and add new production to fill 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 still-image data for generative AI, image classification, object recognition and detection, segmentation, visual search, or model evaluation.
Image Datasets for AI TrainingCustom Video Datasets
Curate or record video for generative video, human activity recognition, motion analysis, object tracking, presenter and avatar systems, or temporal evaluation.
Video Datasets for AI TrainingCustom Text Datasets
Create purpose-built, human-authored instructions, question-answer pairs, dialogues, summaries, classification records, retrieval examples, or evaluation items for LLM and NLP workflows.
Text Datasets for AI TrainingCustom Document Datasets
Assemble project-specific document generation specialists to write required documents from scratch for LLM training, Document AI, OCR, classification, extraction, layout understanding, or evaluation.
Document Datasets for AI TrainingCustom Template Datasets
Curate or create editable presentation, marketing, business, layered design, vector, or motion templates for generative design, layout understanding, component prediction, or evaluation.
Template DatasetsCustom Multimodal Datasets
Align image-text, video-text, synchronized video-audio, or other coordinated data streams for vision-language, audio-visual, cross-modal retrieval, and multimodal evaluation workflows.
Multimodal AI DatasetsDefine Your Custom Dataset Specification
Wavebreak Media uses the agreed specification to assess feasibility, price the work, guide production, and validate the final delivery.
- 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.
- Licensing and documentation: Permitted AI uses, applicable releases, provenance, exclusivity or reuse terms, supporting documentation, and approval criteria. Review licensing and compliance.
Custom Dataset Creation Process
The workflow is adapted to the project, but commercial dataset creation normally follows these stages:
- Brief and feasibility: Review the model task, data requirements, volume, rights, budget, timeline, and measurable acceptance criteria.
- Sourcing plan: Audit eligible archive coverage and determine what should be curated, newly produced, human-authored, designed, or combined.
- Pilot and approval: Where appropriate, validate representative data, metadata, annotations, technical structure, and QA rules before full production.
- Curation or production: Select or create the approved data against category quotas, capture or authoring rules, technical specifications, and rights requirements.
- Annotation and quality control: Apply the agreed schema, review criteria, deduplication rules, split controls, and correction workflow before acceptance.
- Licensing and delivery: Finalize permitted uses and provide the approved files, manifests, documentation, and checksums where required through the agreed transfer method. Review dataset delivery and security.
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.
Projects can combine this source content with controlled image or video production, editable template creation, purpose-built human-authored text or documents, project-defined metadata or annotations, quality control, and licensing for the selected data and intended AI use. Project-specific production, design, or writing teams can be assembled where required by the brief.
Frequently Asked Questions (FAQ)
Yes. Depending on the brief, Wavebreak Media can commission controlled image or video production, create editable templates, or assemble project-specific specialists to author text and documents from scratch. Feasibility is confirmed before production.
Yes. A project can follow a buyer-provided taxonomy, label set, metadata schema, annotation instructions, file structure, and acceptance thresholds. A pilot can be used to resolve ambiguous cases before full production.
Yes, where appropriate. A pilot can validate content coverage, technical specifications, annotations, quality criteria, rights requirements, and delivery structure before the full dataset is produced.
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 modality, volume, archive curation, new production, locations or participants, authoring or design effort, annotation complexity, QA requirements, licensing, exclusivity, delivery, and timeline. A quote is prepared against the approved brief.
Timing depends on archive availability, required production, dataset volume, participant or location requirements, annotation depth, review cycles, rights checks, corrections, and delivery format. The schedule is defined after feasibility review and pilot approval where used.
Request a Custom AI Dataset
Send the model task, data modality, target content and coverage, volume, technical formats, metadata or annotation schema, split and QA rules, rights requirements, budget, delivery method, and timeline. Wavebreak Media will assess archive curation, new production, or a hybrid dataset against the brief.
