EdgeTAM
Real‑time on‑device track‑anything video segmentation and tracking.
EdgeTAM is a lightweight and efficient version of SAM 2, optimized for on‑device tracking and segmenting any object in videos and low memory usage by using a novel 2D Spatial Perceiver and RepViT backbone.
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
Model checkpoint:edgetam.pt
Input resolution (Encoder):1024x1024
Number of parameters (encoder):8.3M
Model size (encoder) (float):33 MB
Number of parameters (decoder):6.22M
Model size (decoder) (float):23.7 MB
Applicable Scenarios
- Video Editing
- Camera
- Robotic Navigation
- Interactive Video Content
License
Model:APACHE-2.0
Tags
- foundation
Supported IoT Devices
- Dragonwing IQ-9075 EVK
- Dragonwing IQ-X5121
- Dragonwing IQ-X7181
- Dragonwing Q-6690 MTP
- Dragonwing Q-7790
- Dragonwing Q-8750
- Dragonwing RB3 Gen 2 Vision Kit
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCM6690
- Qualcomm® QCS6490
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075
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