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Stuttgart AI, Machine Learning and Computer Vision Meetup
April 23, 2025 | 5:30 – 8:30 PM
Date and Time
April 23, 2025 from 5:30 PM to 8:30 PM
Location
Impact Hub Stuttgart, Quellenstraße 7a Stuttgart
Register for the event at Impact Hub Stuttgart
Optimization and Individualization of Assisted Driving Functions based on Driver Feedback
Robin Schwager
Porsche AG
Separation of Machine-Printed and Handwritten Text in Archival Documents
Mahsa Vafaie
FIZ Karlsruhe
One major challenge to date in the field of Document Processing is transforming analogue documents into computer-readable formats. Optical Character Recognition (OCR) and Handwritten Text Recognition (HTR) techniques are traditional methods for this transformation. Despite progress in text recognition through OCR and HTR, this issue remains largely unresolved, particularly regarding historical documents stored in archives, due to visual complexities such as overlapping areas, paper degradation, and ink fading. In the context of the project “Wiedergutmachung”, we propose a pipeline to address the issue of text type heterogeneity in single document images by decomposing the document into its constituent text types—handwritten and machine-printed text, to enhance text recognition accuracy by utilising appropriate models for each text layer, in order to improve the quality of final transcripts.
Practitioner’s Tricks for Image Labeling
Antonio Rueda-Toicen
Voxel51
This talk covers methods to label images in the main computer vision tasks:
- Classification (identifying objects)
- Segmentation (localizing at the pixel level)
- Detection (localizing with bounding boxes)
We look at combining zero-shot classifiers, like CLIP, with active learning. We will discuss key implementation details such as:
- Power and pitfalls of cross-entropy loss
- Model calibration methods
- Choices between single-class and multilabel classification methods
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The goal of the AI, Machine Learning, and Computer Vision Meetup network is to bring together a community of data scientists, machine learning engineers, and open source enthusiasts who want to share and expand their knowledge of AI and complementary technologies. If that’s you, we invite you to join the Meetup closest to your timezone.
Robin Schwager
Porsche AG
Robin Schwager is Research Engineer & PhD candidate at Porsche AG, working in the field of driver assistance systems and autonomous driving.
Mahsa Vafaie
FIZ Karlsruhe
Mahsa Vafaie is a PhD student and a researcher in the Information Service Engineering group at FIZ Karlsruhe– Leibniz Institute for Information Infrastructure. She is currently working on a digitalisation project that aims to create a knowledge graph for contextualisation of historical knowledge derived from collections of documents, records, and materials directly linked to the compensation process for the atrocities of the National Socialist regime in Germany (“Themenportal zur Wiedergutmachung nationalsozialistischen Unrechts”). She is also involved in scientific and teaching activities in the fields of Knowledge Graphs and Semantic Web, at Karlsruhe Institute of Technology (KIT) and in other conferences and venues relevant to these fields.
Antonio Rueda-Toicen
Voxel51
Antonio Rueda-Toicen, an AI Engineer in Berlin, has extensive experience in deploying machine learning models and has taught over 300 professionals. He is currently a Research Scientist at the Hasso Plattner Institute. Since 2019, he has organized the Berlin Computer Vision Group and taught at Berlin’s Data Science Retreat. He specializes in computer vision, cloud technologies, and machine learning. Antonio is also a certified instructor of deep learning and diffusion models in NVIDIA’s Deep Learning Institute.