Faster R-CNN Alternatives

Segment Anything (SAM) is an image segmentation model developed by Meta Research, capable of doing zero-shot segmentation.

The state-of-the-art YOLOv8 model comes with support for instance segmentation tasks.

Segment Anything 2 (SAM 2) is a real-time image and video segmentation model.

YOLOv5 Instance Segmentation is a version of YOLOv5 that can be used for instance segmentation tasks.

Mask RCNN is a convolutional neural network for instance segmentation.

YOLOv7 Instance Segmentation lets you perform segmentation tasks with the YOLOv7 model.

FastSAM is an image segmentation model trained using 2% of the data in the Segment Anything Model SA-1B dataset.

A simple, fully convolutional model for real-time instance segmentation

Detic is an open source segmentation model developed by Meta Research and released in 2022.

OneFormer is a state-of-the-art multi-task image segmentation framework that is implemented using transformers.

Use Grounding DINO, Segment Anything, and CLIP to label objects in images.