timm

Holds code for our CVPR'23 tutorial: All Things ViTs: Understanding and Interpreting Attention in Vision.

Simple Implementation of Pix2Seq model for object detection in PyTorch

Engage in a semantic segmentation challenge for land cover description using multimodal remote sensing earth observation data, delving into real-world scenarios with a dataset comprising 70,000+ aerial imagery patches and 50,000 Sentinel-2 satellite acquisitions.

This application utilizes the powerful Florence-2 vision-language model from Microsoft to generate comprehensive captions for images. The model is capable of understanding visual content and expressing it in natural language.