The TensorFlow 2 Object Detection Library is Here
Blog post from Roboflow
The TensorFlow Object Detection API has been updated to TensorFlow 2.0, bringing significant advancements for computer vision developers. The integration of Roboflow's model library with the TensorFlow 2.0 Object Detection API allows for swift training of custom models, requiring minimal code modification for data import. The API provides a comprehensive model zoo, including the EfficientDet models known for their state-of-the-art performance on the COCO dataset. TensorFlow 2.0 introduces eager execution, simplifying the development process by allowing operations to be defined and executed dynamically. Additionally, the API supports training distribution across multiple GPU or TPU resources, enhancing scalability for large datasets. This update promises improved performance and efficiency for object detection tasks, encouraging developers to utilize the new features and capabilities available in TensorFlow 2.0.