Video · Image / AI & Machine Learning
Face Anti-spoofing Data | 200,000 ID | iBeta Dataset | Liveness Detection Data | Image/Video Machine Learning (ML) Data | AI Datasets
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Overview
Face Anti-spoofing Data | 200,000 ID | iBeta Dataset | Liveness Detection Data | Image/Video Machine Learning (ML) Data | AI Datasets is a video and image dataset. Typical applications include object detection. Relevant sectors: AI & Machine Learning and Education. It is offered as a paid dataset; pricing details are provided on request.
Primary applications
1. Specifications Data size : 200,000 ID Population distribution : race distribution: Asians, Caucasians, black people; gender distribution: gender balance; age distribution: from child to the elderly, the young people and the middle aged are the majorities Collection environment : indoor scenes, outdoor scenes Collection diversity : various postures, expressions, light condition, scenes, time periods and distances Collection device : iPhone, android phone, iPad Collection time : daytime,night Image Parameter : the video format is .mov or .mp4, the image format is .jpg Accuracy : the accuracy of actions exceeds 97% 2. About the provider the provider owns off-the-shelf PB-level Large Language Model(LLM) Data, 3 million hours of Audio Data and 800TB of Imagery Data. These ready-to-go machine learning (ML) data supports instant delivery, quickly improve the accuracy of AI models. For more details, please visit us at https://www.the provider.ai/datasets/computervision?source=the provider
Technical specifications
- Modalities
- Video, Image
- File formats
- XML, JSON, CSV, TXTInferred
- Volume
Related datasets
More in Video & Physical AI →Video · ImageAdvertised
100K+ Hours of Video Data | AI Training Data | Annotated Video for AI | Bounding Boxes, Action Labels & Scene Descriptions | Global Coverage
This dataset contains over 100,000 hours of video recordings captured worldwide.
- Language
- —
- Volume
- 100k h
- Domain
- AI & Machine Learning +1
- Use case
- Object detection
Price on request
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