segment-anything
segment_anything_video_subset51
Dataset Card for Segment Anything Video (Subset 51)
This is a FiftyOne dataset containing 917 video samples from the SA-V (Segment Anything Video) dataset. The videos are at 6 fps (matching the annotation cadence) and include both manual and automatic masklet (object mask tracklets) annotations for video object segmentation tasks.
These are the videos from Subset 51 of the full dataset.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/segment_anything_video_subset51.SegmentanythingformicroscopyEnhancing-Segment-Anything-Model-with-Prioritized-Memory-For-Efficient-Image-EmbeddingsSegment Anything Model (SAM) with Prioritized Memory
Overview
The Segment Anything Model (SAM) by Meta is a state-of-the-art image segmentation model leveraging vision transformers. However, it suffers from high memory usage and computational inefficiencies. Our research introduces a prioritized memory mechanism to enhance SAM’s performance while optimizing resource consumption.
Methodology
We propose a structured memory hierarchy to efficiently manage image embeddings and self-attention… See the full description on the dataset page: https://huggingface.co/datasets/vinit000/Enhancing-Segment-Anything-Model-with-Prioritized-Memory-For-Efficient-Image-Embeddings.