OWL-V2
Open‑Vocabulary Object Detection with Vision Transformers.
OWL‑V2 (Open‑World Localization with Vision Transformers) is an open‑vocabulary object detector that uses a CLIP‑based ViT‑B/16 backbone. Given an image and one or more free‑form text queries, the model predicts bounding boxes and confidence scores for each query.
Not supported
This model is currently not supported on any Compute chipset.
To see performance metrics for this model on other chipsets, click the button below.
View for other chipsetsTechnical Details
Input image resolution:960x960
Model checkpoint:google/owlv2-base-patch16-ensemble
Model size (float):620 MB
Number of parameters:155M
Applicable Scenarios
- Open-Vocabulary Detection
- Zero-Shot Object Detection
- Factory Automation
License
Model:APACHE-2.0
Tags
- foundation
Supported Compute Devices
- Snapdragon X Elite CRD
- Snapdragon X Plus 8-Core CRD
- Snapdragon X2 Elite CRD
Supported Compute Chipsets
- Snapdragon® X Elite
- Snapdragon® X Plus 8-Core
- Snapdragon® X2 Elite
Related Models
See all models
Looking for more? See models created by industry leaders.
Discover Model Makers