Which of the following is a deep learning framework commonly used for object detection?Review LaterTensorFlowScikit-learnPyTorchKeras

The deep learning framework commonly used for object detection is TensorFlow.

Here's a step-by-step explanation:

1. TensorFlow: This is a powerful open-source software library for machine learning developed by researchers at Google. It has strong support for deep learning and machine learning tasks, including object detection. It provides a collection of workflows to develop and train models using Python, and it can process a wide range of data sets.

2. Scikit-learn: This is a machine learning library for Python. It features various classification, regression, and clustering algorithms, but it's not typically used for deep learning tasks like object detection.

3. PyTorch: This is an open-source machine learning library based on the Torch library. It's used for applications such as computer vision and natural language processing. It is a competitor to TensorFlow and can also be used for object detection tasks.

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