DeepLogo
Visit ToolDeepLogo is an open-source brand logo detection system that uses the TensorFlow Object Detection API. It enables users to create custom deep learning models for identifying brand logos in images.
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DeepLogo is an open-source brand logo detection system that uses the TensorFlow Object Detection API. It enables users to create custom deep learning models for identifying brand logos in images.
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About
DeepLogo is a brand logo detection system built upon the TensorFlow Object Detection API, designed to simplify the creation of custom deep learning models for identifying logos. It provides a comprehensive environment for training and evaluating these models, leveraging pre-trained SSD networks from the TensorFlow models repository. Users can fine-tune these models with their own datasets, such as the Flickr Logos 27 dataset, which includes 27 popular brand logos. The system handles data preprocessing, TFRecord generation, model training, inference, and evaluation, making it a robust solution for developers and data scientists working on object detection tasks focused on brand recognition. DeepLogo also offers an updated version, DeepLogo2, which utilizes DETR for enhanced detection capabilities.
Capabilities
Pricing & Plans
Open Source
Free
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