Vehicle-Re-Identification-Using-the-VeRi-Dataset
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This project aims to develop and evaluate a vehicle re-identification system using the VeRi dataset. Leveraging a pre-trained ResNet50 architecture and triplet loss, we designed a system to learn embeddings for vehicle images. Two triplet mining strategies—random and semi-hard
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