VideoAdvertised
The provider Humanoid G1+Dex3 Bimanual Grasping Dataset This is a training‐ready robotics data product.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Robotics & embodied AI
VideoAdvertised
The provider Humanoid Robot G1+Dex3 Single‐Hand Grasping Dataset This is a robot data product ready‐to‐use for model training.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Robotics & embodied AI
Audio · Video · Image · MultimodalAdvertised
What this dataset is the provider licenses real job interview recordings captured on an AI interviewer platform used by 4,000+ companies.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
VideoAdvertised
Specifications: • Volume: 50,000 hours of machine learning (ML) data • Weekly output: 1,000+ hours of new footage added per week • Environments: 16 distinct settings — 1…
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Robotics & embodied AI
Video · ImageAdvertised
1. Specifications Product : Biometric Data Data size : 200,000 ID Race distribution : black people, Caucasian people, brown(Mexican) people, Indian people and Asian…
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +1
- Use case
- Object detection
Video · ImageAdvertised
1. Specifications Data size : 20,000 ID Race distribution : Asian, Caucasian, Black, Brown Gender distribution : male, female Age distribution : from teenagers to the…
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +1
- Use case
- Object detection
Video · ImageAdvertised
1. Specifications Data size : 60,000 ID Population distribution : the race distribution is Asians, Caucasians and black people, the gender distribution is male and…
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +1
- Use case
- Object detection
Image · MultimodalAdvertised
The Ultimate Clean-Background Fashion & Street Style Dataset This premium archive contains 10,600 high-resolution, meticulously curated fashion portraits captured on…
- Language
- —
- Volume
- —
- Domain
- Education +2
- Use case
- Fine-tuning & instruction data
Video · Image · MultimodalAdvertised
This egocentric dataset is produced on demand based on the buyer’s required tasks, geography, participant profiles, capture setup, annotation depth and target volume.
- Language
- —
- Volume
- —
- Domain
- Education +2
- Use case
- Robotics & embodied AI
Video · MultimodalAdvertised
This egocentric video dataset is a collection of high-quality first-person videos recorded in real work + residential environments across Pakistan at 1080p resolution or…
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +1
- Use case
- Object detection
VideoAdvertised
Specifications: • Volume: 50,000 hours of video data • Weekly output: 1,000+ hours of new footage added per week • Environments: 16 distinct settings — 1 residential…
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Robotics & embodied AI
ImageAdvertised
Purpose-built to stress-test computer vision models, depth cameras, and spatial AI against severe specular glare and geometric reflections.
- Language
- —
- Volume
- —
- Domain
- Education +2
- Use case
- Segmentation
VideoAdvertised
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…
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Robotics & embodied AI
VideoAdvertised
Game data is only useful once it is loaded, cleaned, and joined to everything else.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Document understanding & OCR
Audio · TextAdvertised
Scope: Synthetic customer–agent interactions, available in dual-channel (per speaker) or single-channel mixes.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Speech recognition
AudioAdvertised
Scope: Synthetic customer–agent interactions, available in dual-channel (per speaker) or single-channel mixes.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Speech recognition
AudioAdvertised
Scope Short, prompted utterances and wake words such as “Go,” “Stop,” “Hey Siri”, and domain-specific command phrases.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Speech recognition
AudioAdvertised
Two-speaker spontaneous conversations on everyday topics, collected on demand from our 1.2M+ global users across 180 countries.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Speech recognition
Audio · TextAdvertised
Clean, high-quality scripted recordings aligned with transcripts, built for training expressive and natural-sounding TTS systems.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Speech recognition
AudioAdvertised
Scope: Short commands and wake words (“Go”, “Stop”, “Hey Siri”), with each user providing 150–200 utterances.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Speech recognition
AudioAdvertised
Two-speaker scripted conversations on everyday topics, collected on demand from our 1.2M+ global users across 180 countries.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Speech recognition
Audio · TextAdvertised
Scope Short, prompted utterances and wake words such as “Go,” “Stop,” “Hey Siri”, and domain-specific command phrases.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Speech recognition
Audio · TextAdvertised
Clean, high-quality scripted recordings aligned with transcripts, built for training expressive and natural-sounding TTS systems.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Speech recognition
AudioAdvertised
Two-speaker spontaneous conversations on everyday topics, collected on demand from our 1.2M+ global users across 180 countries.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Speech recognition