What is TensorFlow Object Detection API?
TensorFlow Object Detection API is a powerful framework for building, training, and deploying object detection models. It enables developers to create intelligent systems that identify and classify objects in images or videos, with applications spanning autonomous vehicles, surveillance systems, and augmented reality.
How to use TensorFlow Object Detection API?
Begin by installing the API and integrating it with TensorFlow. Select a pre-trained model or create a custom architecture. Prepare your dataset, configure the pipeline, and train your model. Export the trained model and deploy it in your application for real-time object detection.
Core features of TensorFlow Object Detection API?
- Pre-trained models for quick deployment
- Customizable architectures for specific needs
- Efficient inference with optimized performance
- Comprehensive documentation and examples
- Support for various model architectures like SSD, Faster R-CNN

