Instructions to use PrzemekS/frcnn_cav with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use PrzemekS/frcnn_cav with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("PrzemekS/frcnn_cav") - Notebooks
- Google Colab
- Kaggle
Model Card for frcnn_cav
This is a fine-tuned Faster R-CNN (FRCNN) model for robust object detection in intelligent transportation systems. The model is specifically adapted to detect road users such as cars, trucks, and pedestrians, making it ideal for roadside unit deployments.
Model Details
Model Description
Developed by: Przemyslaw Sekula, CATT-Works
Model type: Faster R-CNN (FRCNN) for Object Detection
License: Apache-2.0 - Finetuned from model: A pre-trained FRCNN from the
torchvisionlibrary. ### Model SourcesRepository:
CATT-Works/CAV_DetectionTracking
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