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.
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Developed by: Przemyslaw Sekula, CATT-Works
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Model type: Faster R-CNN (FRCNN) for Object Detection
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License: Apache-2.0 - Finetuned from model: A pre-trained FRCNN from the torchvision library. ### Model Sources
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