CUSTOM GRADEMULTIMODAL
Voice-Image Paired Datasets
Synchronized audio-image pairs for multimodal instruction-following, visual question answering, and grounded-perception models.
- Pair types
- Custom per project
- Quality
- Cross-modal QC
- Availability
- Sample sets on request
[ OVERVIEW ]
Multimodal datasets where spoken language and visual content are captured together and precisely time-aligned. Use cases include visual question answering, grounded instruction following, image captioning with narrated context, and referring-expression grounding. Every pair includes word-level audio timestamps aligned to visual annotations (bounding boxes, segmentation masks, or keypoints) so model teams can train grounded perception without stitching modalities after the fact.
[ KEY HIGHLIGHTS ]
- Word-level audio alignment to visual annotation regions
- Supported tasks: VQA, grounded instructions, captioning, referring expressions
- Bounding boxes, segmentation, and keypoints as the task requires
- Native-speaker audio with diverse accents and naturalness
- Domain-flexible: daily objects, medical imagery, industrial scenes, retail
- Consent covers both modalities with explicit cross-modal use rights
- Licensed per task type or across the full paired corpus
[ TECHNICAL SPECIFICATIONS ]
- Files
- Paired WAV + JPEG/PNG with cross-modal time alignment file per sample
- Alignment
- Word-level audio timestamps linked to visual annotation regions · JSON manifest per pair
- Schema
- COCO-extended with audio fields · VQA-compatible · custom multimodal schemas
- Licensing
- Commercial training rights · cross-modal use rights signed · per-task or full-corpus
More from the catalog.
Explore the full catalog, or scope a custom build matched to your brief.