The following feature details the capabilities and technical specifications of this model as of April 2026. Core Capabilities of SAM 2
: It serves as a single, drop-in replacement for both image and video segmentation tasks. SM Veronika 2 mp4
SAM 2 represents a significant advancement over the original model by adding a native "memory" for video processing. The following feature details the capabilities and technical
: The model has been integrated into labeling platforms like Supervisely to automate video annotation workflows. SM Veronika 2 mp4
: Users can use points, bounding boxes, or masks as prompts to identify objects. For video, a prompt in one frame creates a "masklet" that tracks the object throughout the entire clip.
: Implementation typically involves setting up a Python environment and using standard libraries like Supervision for visualizing results.