This article is a continuation of our series of articles on KerasCV. The previous article discussed fine-tuning the popular DeeplabV3+ model for semantic segmentation. In this article, we will shift ...
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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 ...
Real Time Deep SORT with Torchvision Detectors
Tracking is one of the most important components in object detection when it comes to real-world applications. Applications like real-time surveillance and autonomous driving systems cannot reach ...
