Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

Abstract: Despite significant advances in object detection methods for traffic scenes, object detection under adverse weather conditions is still a challenging task. Especially in foggy weather, the ...

When compiling Object Detection with Tensorflow model (as described here), it gives different compilation errors each time (I guess because of threaded compile). Also, debug and release builds give ...

Abstract: Object detection forms an important area of research where the efforts are still being put forth to improve the accuracy of detection. Several approaches have been made which also include ...

(tf1.8) C:\tensorflow1\models\research\object_detection>python train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/faster_rcnn_inception_v2 ...