OmDet model
The OmDet model was proposed in Real-time Transformer-based Open-Vocabulary Detection with Efficient Fusion Head by Tiancheng Zhao, Peng Liu, Xuan He, Lu Zhang, Kyusong Lee.
Intended use cases
This model is intended for zero-shot (also called open-vocabulary) object detection.
Usage
Refer to the original repository.
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support
HF Inference deployability: The model has no library tag.