As vehicular technology continues to evolve at a rapid pace, the push towards safer, smarter, and more efficient driving experiences has been at the forefront of automotive innovation. Advanced Driver ...
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Semantic Segmentation using KerasCV DeepLabv3+
The KerasCV series continues with this second article. Continuing from the previous post, where we discussed Object Detection using KerasCV YOLOv8, this article discusses solving a semantic ...
Object Detection using KerasCV YOLOv8
Welcome to this comprehensive guide on object detection using the latest "KerasCV YOLOv8" model. YOLO object detection models have found their way into countless applications, from ...
Fine Tuning TrOCR – Training TrOCR to Recognize Curved Text
TrOCR (Transformer based Optical Character Recognition) models are some of the best performing OCR models. In our previous article, we analyzed how well they perform on single line printed and ...
TrOCR – Getting Started with Transformer Based OCR
Optical Character Recognition (OCR) has seen several innovations over the years. Its impact on retail, healthcare, banking, and many other industries has been immense. Despite a long history and ...
Facial Emotion Recognition: Decoding Expressions
Facial Emotion Recognition (FER) refers to the process of identifying and categorizing human emotions based on facial expressions. By analyzing facial features and patterns, machines can make educated ...