MobileSam
Faster Segment Anything: Towards lightweight SAM for mobile applications.
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.
Not supported
This model is currently not supported on any IoT chipset.
To see performance metrics for this model on other chipsets, click the button below.
View for other chipsetsTechnical Details
Input resolution:720p (720x1280)
Model checkpoint:vit_t
Model size (sam_decoder) (float):23.7 MB
Model size (sam_encoder) (float):26.6 MB
Number of parameters (sam_decoder):6.16M
Number of parameters (sam_encoder):6.95M
Applicable Scenarios
- Factory Automation
- Robotic Navigation
- Camera
License
Model:APACHE-2.0
Tags
- foundation
Supported IoT Devices
- Dragonwing IQ-8275 EVK
- Dragonwing IQ-9075 EVK
- Dragonwing IQ-X5121
- Dragonwing IQ-X7181
- Dragonwing Q-8750
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® Dragonwing™ IQ-X7181
- Qualcomm® Dragonwing™ QCS8275
- Qualcomm® Dragonwing™ QCS8550 (Proxy)
- Qualcomm® Dragonwing™ Q-8750
- Qualcomm® Dragonwing™ IQ-9075
Looking for more? See models created by industry leaders.
Discover Model Makers