[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

Focus on prompting and generating

Applied augmentation on yolov5 and yolov8 dataset.

darknet + ROS2 Humble + OpenCV4 + CUDA 11（cuDNN, Jetson Orin）

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.

Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.