WeDetect
Real‑time text‑conditioned object detection optimized for mobile and edge.
WeDetect is a text‑conditioned object detection model that uses a prompt‑then‑detect strategy. Text class names are reparameterized into the model weights before export, producing a fixed‑vocabulary detector that runs efficiently on‑device. The model uses LTRB (Left‑Top‑Right‑Bottom) regression with multi‑scale feature maps at strides 8, 16, and 32.
Note: WeDetect cannot be downloaded directly due to licensing restrictions. You can export a model ready for on-device deployment using the AI Hub service.
Not supported
This model is currently not supported on any Automotive chipset.
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View for other chipsetsTechnical Details
Input resolution:640x640
Model checkpoint:wedetect_tiny
Model size (detector) (float):143 MB
Model size (detector) (mixed_with_float):35.9 MB
Model size (text_encoder) (float):592 B
Model size (text_encoder) (mixed_with_float):13.3 KB
Number of parameters (detector):37.3M
Number of parameters (text_encoder):3.00
Applicable Scenarios
- Factory Automation
- Robotic Navigation
- Camera
License
Model:GPL-3.0
Tags
- real-time
Supported Automotive Devices
- SA7255P ADP
- SA8255P ADP
- SA8295P ADP
- SA8650P ADP
- SA8775P ADP
Supported Automotive Chipsets
- Qualcomm® SA7255P
- Qualcomm® SA8255P
- Qualcomm® SA8295P
- Qualcomm® SA8650P
- Qualcomm® SA8775P
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