Kanil Patel

Title: Kanil Patel: Innovator in Image Classification Technology

Introduction

Kanil Patel is a prominent inventor based in Stuttgart, Germany. He has made significant contributions to the field of image classification technology, holding a total of 4 patents. His innovative work focuses on enhancing the accuracy and efficiency of image classifiers through advanced calibration methods.

Latest Patents

One of Kanil Patel's latest patents is titled "On-the-fly calibration of an image classifier." This method involves training an image classifier to determine a prediction vector of class probabilities for an input image. The process begins with initial training steps that yield current values for the trainable parameters of the image classifier. A training image and its corresponding class label are selected, leading to the determination of a current label vector for training. If the predicted class matches the class label, the current label vector is established as a soft label based on the prediction vector. A current training step is then performed using this label vector.

Another notable patent is "Classification model calibration," which describes a computer-implemented method for calibrating a trained classification model. This model is designed to classify input samples across multiple classes and provide associated prediction probabilities. The method includes accessing the trained model and a set of validation samples, each with a ground-truth label. The trained model is applied to these validation samples to obtain output logit vectors, which are then used to train a calibration module that adjusts the prediction probabilities.

Career Highlights

Kanil Patel is currently employed at Robert Bosch GmbH, where he continues to develop innovative solutions in image classification. His work has garnered attention for its practical applications in various industries, enhancing the capabilities of machine learning systems.

Collaborations

Throughout his career, Kanil has collaborated with notable colleagues, including Dan Zhang and William Harris Beluch. These partnerships have contributed to the advancement of his research and the successful implementation of his patented technologies.

Conclusion

Kanil Patel's contributions to image classification technology exemplify the impact of innovative thinking in the field of machine learning. His patents reflect a commitment to improving the accuracy and reliability of classification models, making significant strides in the industry.