Create computer vision applications with a modern graphical user interface in Python using OpenCV and Python.

A PyTorch implementation on the ConvNeXt architecture

Introduction The vanilla ViT is problematic. If you take a look at the original ViT paper [1], you’ll notice that although this deep learning model proved to work extremely well, it requires hundreds…

Multi-class zero-shot embedding classification and error checking

A Technical Deep Dive into Auto-Labeling The post Computer Vision’s Annotation Bottleneck Is Finally Breaking appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the…

The magic behind multimodal models unlocked through contrastive learning The post CLIP Model Overview : Unlocking the Power of Multimodal AI appeared first on Towards Data Science. Generated by RSStT.…

A practical approach to instance segmentation using SOLOv2 and TensorFlow

Using knowledge graphs to handle the unexpected in semantic communication

A practical exploration focusing on performance and speed

Image segmentation is a popular task in computer vision, with the goal of partitioning an input image into multiple regions, where each region represents a separate object. Several classic approaches from the past involved taking a model backbone (e.g., U…

A new AI model matches street-level photos to aerial images in record time.