Commercial training data from specialist providers. Listings show what each source advertises; licensing is confirmed with the provider before any agreement.
Purpose-built to stress-test computer vision models, depth cameras, and spatial AI against severe specular glare and geometric reflections.
A collection of omni scenes dataset collected using gendas gripper featuring scenes like manual sorting and organizing of daily objects, including folding clothes,…
A collection of simulation ready 3d environments from real-world scanned products and 5 parametric task environments (kitchen manipulation, warehouse pick & place,…
Specifications: • Volume: 50,000 hours of deep learning (DL) data video footage • Weekly output: 1,000+ hours of new footage added per week • Environments: 16 distinct…
Scope: Synthetic customer–agent interactions, available in dual-channel (per speaker) or single-channel mixes.
Scope: Synthetic customer–agent interactions, available in dual-channel (per speaker) or single-channel mixes.
Scope Short, prompted utterances and wake words such as “Go,” “Stop,” “Hey Siri”, and domain-specific command phrases.
Two-speaker spontaneous conversations on everyday topics, collected on demand from our 1.2M+ global users across 180 countries.
Clean, high-quality scripted recordings aligned with transcripts, built for training expressive and natural-sounding TTS systems.
Scope: Short commands and wake words (“Go”, “Stop”, “Hey Siri”), with each user providing 150–200 utterances.
Two-speaker scripted conversations on everyday topics, collected on demand from our 1.2M+ global users across 180 countries.
Scope Short, prompted utterances and wake words such as “Go,” “Stop,” “Hey Siri”, and domain-specific command phrases.
Clean, high-quality scripted recordings aligned with transcripts, built for training expressive and natural-sounding TTS systems.
Two-speaker spontaneous conversations on everyday topics, collected on demand from our 1.2M+ global users across 180 countries.
This world model dataset is produced on demand based on the buyer’s required tasks, sensor stack, participant profiles, capture environments, annotation depth and target…
The Synthetic Strawberry Dataset is a high-quality computer vision training dataset containing photorealistic strawberry images generated through physics-based…
The provider (Accurate Data Annotator) provides data collection, annotation, and human evaluation services for AI and machine learning development, with access to…
Current standard package highlights: - Expert trajectories across NVIDIA classic indoor scenes: Hospital, Office, Warehouse, Simple Room - Diverse route semantics:…
A collection of first-person view videos capturing various human activities such as cooking, cleaning, assembling, and exercising.
Collection of egocentric videos capturing individuals performing a variety of indoor and outdoor activities with imu sensors data.
METADATA COLLECTED: Session (automatic): session_name, start_time_unix, episode_duration_s, fps, firmware_version, encryption Per-clip capture log: operator_id, task_id,…
A collection of human egocentric, synthetic, and teleoperated robot data with associated metadata.
Collection of egocentric videos capturing individuals performing a variety of indoor and outdoor activities.
2,000 robot manipulation episodes with multi-camera video, robot joint states, gripper states, action trajectories, object labels, task phases, and success/failure…