Segment-Anything-Model
High-quality segmentation mask generation around any object in an image with simple input prompt.
Transformer based encoder-decoder where prompts specify what to segment in an image thereby allowing segmentation without the need for additional training. The image encoder generates embeddings and the lightweight decoder operates on the embeddings for point and mask based image segmentation.
Technical Details
Model checkpoint:vit_l
Input resolution:720p (720x1280)
Number of parameters (SAMDecoder):5.11M
Model size (SAMDecoder):19.6 MB
Applicable Scenarios
- Factory Automation
- Robotic Navigation
- Camera
Licenses
Source Model:APACHE-2.0
Deployable Model:AI Model Hub License
Tags
- foundationA “foundation” model is versatile and designed for multi-task capabilities, without the need for fine-tuning.
Supported IoT Devices
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS8550