The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Code for the Lovász-Softmax loss (CVPR 2018)

Geospatial Raster support for Spark DataFrames

Downstream-Dino-V2: A GitHub repository featuring an easy-to-use implementation of the DINOv2 model by Facebook for downstream tasks such as Classification, Semantic Segmentation and Monocular dept…

Road network extraction from satellite imagery, with speed and travel time estimates

Lidar and Aerial Image-based Building Segmentation: an entry in the 2022 MapAI competition