Real-Time Object Detection in 2025
Real-Time Object Detection in 2025: A Deep Dive into YOLOv12, RF-DETR, and D-FINE Introduction Real-time object detection has become a cornerstone in various applications, from autonomous vehicles and robotics to augmented reality and surveillance systems. As of 2025, the field has witnessed significant advancements, with models like YOLOv12, RF-DETR, and D-FINE pushing the boundaries of […]
Continue ReadingUnderstanding popular Zero-Shot and Open-Vocabulary Object Detection models
2025 Guide to Zero-Shot and Open-Vocabulary Object Detection Introduction In 2025, object detection has transcended traditional boundaries, moving beyond fixed-category recognition to embrace open-vocabulary and zero-shot capabilities. This evolution enables models to identify and localize objects based on natural language descriptions, even if they haven’t encountered those specific categories during training. Such advancements are pivotal […]
Continue ReadingReceiptNinja: Using Google Gemini to extract information from Retail Receipts
Building ReceiptNinja: An Intelligent Receipt Processing Demo App In today’s digital-first world, managing receipts—whether physical or digital—can be a daunting task for individuals and businesses alike. Manual data entry for expense tracking or finance management is time-consuming, error-prone, and tedious. Enter ReceiptNinja, an intelligent demo application designed to automate this process by extracting key fields […]
Continue ReadingKey Considerations for Implementing Object Detection on Edge Devices
When starting an object detection project, the initial focus is often on building the most accurate model possible. However, highly accurate models are usually not deployable in production scenarios due to the trade-off between accuracy and computational demands. These models tend to be resource-intensive and can be impractical and costly to deploy. Deploying models on […]
Continue ReadingHow Transformers Are Shaping the Future of Object Detection
The world of computer vision changed forever 2011 onwards, when convolutional neural networks (CNNs) revolutionized object detection by providing a significant leap in accuracy and efficiency compared to earlier methods like the Viola-Jones framework, which primarily relied on handcrafted features and boosted classifiers. CNN-based models like Faster R-CNN, YOLO, and CenterNet brought about groundbreaking […]
Continue Reading
