Robotics
Capture task sequences in the environments where they occur.
Organize manipulation, navigation, handoff, tool-use, and human–object interactions by task stage, viewpoint, setting, and visible conditions.
Datos basados en escenarios para sistemas incorporados
Datos de vídeo VLA para IA física
Construye colecciones de videos enfocadas en torno a las acciones, entornos, condiciones, puntos de vista y límites de clip que su programa de IA física necesita.
- El guión de escenarioAcción y contexto
- Nivel de la cintaFronteras temporales definidas
- Contexto ricoVisión y condiciones
- Operado en su totalidadRecogida a través de la entrega
Aplicación de la carga de trabajo
Comience con el comportamiento físico que el modelo debe observar.
Los datos de VLA se vuelven útiles cuando la acción y su configuración son explícitas.
Autonomous mobility
Build scenario coverage around road-user behavior and changing conditions.
Define maneuvers, intersections, road types, traffic states, weather, lighting, camera perspective, and the event window that makes the scene relevant.
World models
Preserve the sequence between state, action, and visible outcome.
Collect temporally coherent clips that retain environment, actor, object, action, and outcome context for simulation and representation-learning workflows.
Breve escenario
Convierta una necesidad de modelo en criterios de escena buscables.
El resumen define lo que debe suceder en la pantalla y qué variaciones importan. target.
Build your scenario brief- 01Action
The behavior, task stage, or interaction that must be visible.
- 02Actor and object
The people, vehicles, tools, surfaces, or items involved in the event.
- 03Environment
The physical setting, layout, road type, workspace, or background context.
- 04Conditions
Lighting, weather, congestion, occlusion, motion, and other useful variation.
- 05Point of view
Egocentric, fixed, mobile, elevated, roadside, or another defined perspective.
- 06Time boundaries
The visible cue that starts the clip and the outcome that closes it.
Diseño de registros
Mantenga cada clip conectado al contexto que lo seleccionó.
Un envase de registro consistente permite a los equipos de datos inspeccionar el ajuste de escena, unir archivos a metadatos y comparar lotes sin reconstruir el contexto de los nombres de archivos.
Focused video clip
Defined start and end around the visible action, with file properties kept beside the record.
- Clip identifier
- File reference
- Duration and orientation
Scenario meaning
The behavior, actor, object, task stage, and visible outcome represented in the selected window.
- Action sequence
- Actors and objects
- Start and completion cues
Scene conditions
Environment, point of view, lighting, weather, traffic, occlusion, and other selected dimensions.
- Environment class
- Viewpoint
- Condition values
Delivery metadata
Source reference, collection context, schema version, batch identity, and record-quality state.
- Source reference
- Batch and schema version
- Acceptance state
Flujo de trabajo operado
Una breve regirá el descubrimiento, el corte, la calidad y la entrega.
WebScrapingAPI maneja el flujo de trabajo de recogida. Su equipo se centra en la definición del escenario y si los registros de muestra se ajustan al flujo de trabajo del modelo previsto.
- 01DefineShared brief
Translate the workload into actions, environments, conditions, viewpoints, time boundaries, exclusions, and sample criteria.
- 02DiscoverWSA operates
Search the selected source universe for scenes that fit the approved context and event pattern.
- 03PrepareWSA operates
Set clip windows, assemble metadata, apply duplicate controls, and test records against the acceptance rules.
- 04DeliverWSA operates
Package accepted files and manifests, report batch quality states, and send them to the selected destination.
WebScrapingAPI ownsCollection, clip preparation, quality monitoring, source-change maintenance, and delivery.
Your team ownsModel objectives, scenario approval, sample acceptance, and downstream training or evaluation.
Diseño de calidad
La calidad significa que el clip se ajusta al escenario y el registro explica por qué.
Las reglas de aceptación se adjuntan al informe antes de que el volumen se expanda. Cada estado entregado permanece visible, por lo que el equipo receptor puede separar los registros aceptados de los estados de revisión o rechazo.
Scenario fit
ContextThe required action, actor, object, environment, and selected conditions are visible in the clip.
Time-boundary fit
SequenceThe event begins and ends at the defined cues, with enough surrounding context to interpret the sequence.
Media integrity
FileThe delivered file can be opened, identified, and connected to its record and manifest.
Metadata completeness
RecordRequired context fields, source reference, batch identity, and schema version are present and readable.
Duplicate control
BatchRepeated files and near-identical scene records follow the program’s defined handling policy.
Diseño de entrega
Reciba un lote inspectable una vez, o mantenga activo el suministro de escenario.
Elige una colección única para un hito definido del modelo o un programa recurrente que añade nuevos registros en una cadencia planificada.
Build a bounded scenario collection.
Use a fixed source scope, collection window, record schema, acceptance policy, and delivery event for training or evaluation.
- Versioned clip files
- Record index and manifest
- Batch quality summary
Refresh the scenario set on a planned cadence.
Retain the record contract while adding new files, condition coverage, or time periods to the selected secure destination.
- Consistent schema
- Duplicate and version policy
- Delivery-by-delivery states
Delivery envelope
- Media
- Video clips
- Index
- Structured metadata
- Control
- Manifest + schema version
- Destination
- Selected secure destination
Elige el camino correcto
Utilice el camino VLA cuando el contexto físico define si un clip pertenece.
La suite de datos de IA más amplia ofrece a los equipos rutas claras para el video general, paquetes listos para evaluar, recopilación gestionada y planificación de registros multimodal.
CaminoMejor ajustaObjeto de definiciónEl siguiente paso
Datos de vídeo para la capacitación de IAMultimodal video and audio workloadsClip + media contextExplore
Need a broader training, RAG, or agent data route? Explore Data for AI.
Orientación de precios
Precie el programa de escenarios, no un conteo de medios abstractos.
El alcance sigue el trabajo necesario para encontrar, preparar, verificar, organizar y entregar registros útiles para la carga de trabajo definida de IA física.
Discuss your VLA data brief- Scenario breadth
- Actions, environments, conditions, viewpoints, and exclusions
- Media work
- Source scope, collection window, clip preparation, and file organization
- Record depth
- Metadata fields, schema, manifests, and quality states
- Operating model
- Volume, one-time or recurring cadence, destination, and support
FAQ
Preguntas para una evaluación de datos de vídeo de VLA.
Utilice las respuestas para dar forma a un breve escenario, revisión de muestras, diseño de entrega y límite operativo.
Talk to a data expertWhat is VLA video data?
VLA video data organizes visible actions and their surrounding scene context for vision-language-action and physical-AI workloads. A delivery can pair focused clips with point of view, environment, conditions, time boundaries, and descriptive metadata.
How do we define the right physical-AI scenarios?
Start with the action the model must observe, then define the actor or object, environment, operating conditions, point of view, clip start and end, and useful exclusions. WebScrapingAPI turns that brief into discovery and acceptance criteria.
What can each delivered record contain?
A record can connect the video clip to its source reference, action and scene description, point of view, environment, conditions, time boundaries, file properties, capture context, and schema version. The selected fields follow the program brief.
Can delivery be one-time or recurring?
Yes. A one-time delivery can support a defined training or evaluation window. A recurring program can add new scenario-matched records on a planned cadence while retaining the same record structure and acceptance rules.
What does WebScrapingAPI operate?
WebScrapingAPI operates source discovery and collection, clip preparation, metadata assembly, quality monitoring, source-change maintenance, duplicate controls, and delivery to the selected secure destination.
How is this different from general Video Data for AI Training?
The broader Video Data service supports multimodal model workloads across video, audio, transcripts, clips, and metadata. The VLA path adds a physical-scenario brief that makes action, environment, conditions, point of view, and time boundaries central to every record.
How is VLA video data delivered?
Video clips and their record index can be organized into versioned batches and sent to the selected secure destination. The delivery design covers file organization, manifest structure, schema version, cadence, and acceptance reporting.
What shapes pricing?
Pricing reflects scenario breadth, source scope, collection window, clip preparation, metadata depth, quality rules, volume, cadence, duplicate policy, file organization, delivery destination, and the operating support required.
Tu primer escenario
Transformar un escenario de IA física en un resumen de datos listo para muestras.
Compartir la acción, el entorno, las condiciones, el punto de vista, los límites de tiempo y el destino preferido.