What is YOLOv8? YOLOv8 is the latest family of YOLO based Object Detection models from Ultralytics providing state-of-the-art performance. Leveraging the previous YOLO versions, the YOLOv8 ...
The YOLOv5 object detection models are well known for their excellent performance and optimized inference speed. Recently, the support for instance segmentation has also been added to the codebase. ...
DeepLab models, first debuted in ICLR ‘14, are a series of deep learning architectures designed to tackle the problem of semantic segmentation. After making iterative refinements through the years, ...
In recent years, we have seen tremendous progress in the YOLO series, now hosting both anchor-free and anchor-based object detection models. Instead of focusing solely on architectural changes, YoloR ...
Annotation is the most crucial part of a Deep Learning project. It is a deciding factor in how well a model learns. However, it is very tedious and time-consuming. One solution is to use an automated ...
If you are undertaking an object detection project, the probability is high that you would choose one of the many YOLO models. Going by the number of YOLO object detection models out there, it's a ...
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