Segment Anything provides the SA-1B dataset. HuggingFace provides code and pre-trained models. CLIPSeg, Segformer, OneFormer, BLIP and CLIP provide powerful semantic segmentation, image caption and classification models. 📜 Citation If you find this work useful for your research, please cite our...
python main.py --model SVM --dataset IndianPines --training_sample 0.3This runs a grid search on SVM on the Indian Pines dataset, using 30% of the samples for training and the rest for testing. Results are displayed in the visdom panel. python main.py --model nn --dataset PaviaU --...
Apache-2.0 license Semantic Segment Anything Jiaqi Chen, Zeyu Yang, and Li Zhang Zhang Vision Group, Fudan Univerisity SAM is a powerful model for arbitrary object segmentation, while SA-1B is the largest segmentation dataset to date. However, SAM lacks the ability to predict semantic categories...