Templates
Overview
Synthesis AI offers a set of common scenarios and provides a JSON that programmatically creates images without the need for manual modification.
Workflow
The standard workflow for the Synthesis AI Face API is:
- Register Account, Download & Setup CLI
- Select Identities for the Face API with the Identities API
- Create Face API job with input JSON
- Download job output with CLI
- Parse outputs into your ML pipeline
Identities
Name | Description | Sample image |
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50 human identities evenly distributed among gender,age and ethnicities. |
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100 human identities evenly distributed among gender,age and ethnicities. |
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1000 human identities evenly distributed among gender,age and ethnicities. |
Use Cases
Name | Use case | Description | Sample image |
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Landmark Estimation |
Camera focused on close-up images of the head. Variation in eye gaze, head turn, glasses, masks, facial hair, and background (HDRI) |
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ID Verification |
100 images (5 M, 5 F). Camera distance approximating a mobile phone camera. Variation includes eye gaze, head turn, glasses, masks, facial hair, and background (HDRI) |
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Teleconferencing |
Background matting is cutting out a foreground person from any and a key computer vision problem in the current era of online videoconferencing. Variation in glasses, headphones, facial hair, gestures and indoor background (HDRI). Emulating a "glow" from monitor using directional lights. |
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Driver Monitoring |
In-vehicle environment with a NIR camera located at the rearview mirror and foucsed on the driver. Variability in head pose, gaze, and accessories |
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Driver Monitoring |
In-vehicle environment with a RGB camera located at the rearview mirror and foucsed on the driver. Variability in head pose, gaze, and accessories |
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Driver Monitoring |
In-vehicle environment with a NIR camera located at the dashboard and focused on the driver. Variability in head pose, gaze, and accessories |
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Driver Monitoring |
In-vehicle environment with a RGB camera located at the dashboard and focused on the driver. Variability in head pose, gaze, and accessories |
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Body Pose Estimation |
50 images (25M, 25F). Camera showing full body. Variation of 10 different gestures and background (HDRI) |
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Body Pose Estimation |
1 ID, 55 images each representing a frame of a gesture. Camera showing full body. Variation of background (HDRI). |