Update: This README and Repository is now fully updated for Tensorflow 2. If you want to use Tensorflow 1 instead check out my article. If you want to train your model in Google Colab check out the ...

In this race of creating the most accurate and efficient model, the Google Brain team recently released the EfficientDet model, it achieved the highest accuracy with fewest training epochs in object ...

This wiki describes how to work with object detection models trained using TensorFlow Object Detection API. OpenCV 3.4.1 or higher is required. Deep learning networks in TensorFlow are represented as ...

Abstract: Object Detection is widely utilized in several applications such as detecting vehicles, face detection, autonomous vehicles and pedestrians on streets. TensorFlow's Object Detection API is a ...

On the other hand, object detection requires the model to identify more than object as well as the bounding box of each instance. Are you ready for TNW Conference 2025? Less than one week to go!

Abstract: Underwater detection and ... E.g., partly buried objects like high-voltage power cables must be identified and localized reliably. The concept of Electrical Impedance Tomography (EIT) ...

Meta has announced the release of an artificial intelligence model that is capable of identifying specific objects within an image. Alongside the model, Meta has also published a dataset of image ...