diff --git a/assets/meta.yaml b/assets/meta.yaml index 9b831737..3322e953 100644 --- a/assets/meta.yaml +++ b/assets/meta.yaml @@ -848,3 +848,37 @@ prohibited_uses: '' monitoring: '' feedback: none +- type: model + name: SAM 2 (Meta Segment Anything Model 2) + organization: Meta AI + description: SAM 2 is a unified model for real-time object segmentation in images and videos, + __achieving_state-of-the-art_performance._it_is_an_improvement_on_the_previous_sam_model,_now + __supporting_object_segmentation_in_videos_in_addition_to_images._it_is_capable_of_segmenting_any + __object_in_any_video_or_image,_even_those_it_has_not_previously_seen,_enabling_a_diverse_range + __of_use_cases._potential_applications_for_sam_2_include: creating new video effects with a + __generative_video_model,_speeding_up_annotation_tools_for_visual_data_to_enhance_computer_vision + __systems,_and_aid_in_scientific_research,_such_as_tracking_endangered_animals_in_drone_footage_or + __localizing_regions_in_a_medical_procedure. + created_date: 2024-07-29 + url: https://go.fb.me/p749s5 + model_card: + modality: video; image + analysis: Achieves better video segmentation performance than existing work, is three times faster, + __and_can_perform_zero-shot_generalization_(segmenting_any_object_in_any_video_or_image)._the_model's + __evaluation_is_shared_under_a_bsd-3_license. + size: Unknown + dependencies: [SAM, SA-V dataset] + training_emissions: Unknown + training_time: Unknown + training_hardware: Unknown + quality_control: Public release of the model, code, and dataset for broader community review and use, + __following_an_open_science_approach. + access: Open + license: Apache 2.0 + intended_uses: Real-time object segmentation in images and videos for various application such as + __creating_new_video_effects,_speeding_up_annotation_tools_for_visual_data,_and_aiding_in_scientific + __research. + prohibited_uses: Unknown + monitoring: Unknown + feedback: Engagement with the AI community and open source contributions are encouraged, but no specific + __feedback_method_is_mentioned.