Image · 3D / Point cloud · MultimodalAdvertised
The provider provides commercially licensable multi-view drone imagery and associated reconstructed 3D and geospatial data.
- Language
- —
- Volume
- —
- Domain
- Automotive & Mobility +3
- Use case
- Robotics & embodied AI
Audio · Video · Text · 3D / Point cloudAdvertised
Specifications: • Scope: Any modality — audio & speech, video & image, embodied AI/egocentric, 3D & spatial, generative media, text & multimodal • Sourcing: Proprietary…
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +1
- Use case
- Conversational AI
Video · MultimodalAdvertised
Off-the-shelf manipulation datasets rarely match the exact task, objects, or environment your policy needs.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +3
- Use case
- LLM pre-training
VideoAdvertised
A teleoperated bimanual demonstration of domestic garment handling — picking up and manipulating clothing items over a soft surface — recorded on a DAS bimanual…
- Language
- English
- Volume
- —
- Domain
- Consumer & Lifestyle +2
- Use case
- Robotics & embodied AI
ImageAdvertised
1. Specifications Data size : 100,000 id Population distribution : gender distribution: balance gender; race distribution: Caucasians,blacks,Indians,Asians; age…
- Language
- —
- Volume
- —
- Domain
- Automotive & Mobility +2
- Use case
- Object detection
VideoAdvertised
Specifications: • Volume: 50,000 hours • Weekly output: 1,000+ hours of new footage added per week • Environments: 16 distinct settings — 1 residential (home & daily…
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Robotics & embodied AI
Video · Image · 3D / Point cloud · MultimodalAdvertised
Azimov is egocentric (first-person) data recorded by trained professionals doing their actual jobs on live, operating sites.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +1
- Use case
- LLM pre-training
VideoAdvertised
Egocentric Data Specifications: • Volume: 50,000 hours • 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
VideoAdvertised
Specifications: • Volume: 50,000 hours • Weekly output: 1,000+ hours of new footage added per week • Environments: 16 distinct settings — 1 residential (home & daily…
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Robotics & embodied AI
Video · Image · 3D / Point cloudAdvertised
33 minutes and 4 seconds of continuous, unscripted laundry folding on a bed in a North American home (Utah, USA), recorded head-mounted on a Luxonis OAK-D Pro W on 21…
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Robotics & embodied AI
Video · MultimodalAdvertised
This dataset contains ~20-second episodes of a person naturally folding cloth, captured by the provider’s wrist-worn AI smartwatch.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- LLM pre-training
VideoAdvertised
Specifications: • Volume: 50,000 hours • Weekly output: 1,000+ hours of new footage added per week • Environments: 16 distinct settings — 1 residential (home & daily…
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Robotics & embodied AI
VideoAdvertised
Specifications: • Volume: 50,000 hours • Weekly output: 1,000+ hours of new footage added per week • Environments: 16 distinct settings — 1 residential (home & daily…
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Robotics & embodied AI
VideoAdvertised
Specifications: • Volume: 50,000 hours • Weekly output: 1,000+ hours of new footage added per week • Environments: 16 distinct settings — 1 residential (home & daily…
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Robotics & embodied AI
Video · 3D / Point cloud · MultimodalAdvertised
Egocentric video recorded by contributors in their own homes across Brazil, through Verakin, our contributor network in the five regions of the country.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +1
- Use case
- Fine-tuning & instruction data
Video · 3D / Point cloud · MultimodalAdvertised
Egocentric video of skilled workers doing their actual jobs in Brazil, recorded on head-mounted phones through Verakin, our contributor network, and through partner…
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +1
- Use case
- Fine-tuning & instruction data
VideoAdvertised
Specifications: • Volume: 50,000 hours • Weekly output: 1,000+ hours of new footage added per week • Environments: 16 distinct settings — 1 residential (home & daily…
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Robotics & embodied AI
VideoAdvertised
Specifications: • Volume: 50,000 hours video data • Weekly output: 1,000+ hours of new footage added per week • Environments: 16 distinct settings — 1 residential (home…
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Robotics & embodied AI
Video · Image · MultimodalAdvertised
1. Overview the provider provide accurate and comprehensive data support for various embodied intelligent applications.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +3
- Use case
- Alignment & RLHF
Video · ImageAdvertised
1. Specifications Data size : 200,000 ID Population distribution : race distribution: Asians, Caucasians, black people; gender distribution: gender balance; age…
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +1
- Use case
- Object detection
VideoAdvertised
Specifications: • Volume: 50,000 hours of egocentric 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
VideoAdvertised
Specifications: • Volume: 50,000 hours of deep learning (DL) data 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
Specifications: • Volume: 50,000 hours of embodied data and 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
Every game catalog starts with the same problem: there is no single, reliable list of what games exist.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Document understanding & OCR