Video Segmentation - Groups

VFX Segmentation Dataset

The VFX Segmentation Dataset is a high-resolution video segmentation dataset containing 27,046 video frames with pixel-level ground-truth segmentations.

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Actor and Action (A2D) Dataset

Actor and Action (A2D) dataset is a popular dataset for the actor and action video segmentation task.

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Real-Time All-Purpose Segment Anything Model

Advanced by transformer architecture, vision foundation models (VFMs) achieve remarkable progress in performance and generalization ability. Segment Anything Model (SAM) is one...

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Densely Annotated Video Segmentation (DAVIS)

The Davis dataset contains fifty high-resolution videos with pixel-accurate ground truth.

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Video Segmentation Datasets

The dataset used for video segmentation, including Moving MNIST, Change detection, Segtrack V2, and Davis datasets.

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Temporal Deepfake Segment Benchmark

A deepfake detection method that can address the issue of modifying segments of videos using generative techniques.

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PanoVOS

A panoramic video object segmentation dataset, providing 150 videos with high video resolutions and diverse motions.

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A Simple Video Segmenter by Tracking Objects Along Axial Trajectories

Video segmentation requires consistently segmenting and tracking objects over time. Due to the quadratic dependency on input size, directly applying self-attention to video...

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Semantic Object Classes in Video

A dataset for semantic object classes in video.

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Breakfast Actions

The Breakfast Actions dataset contains 70 hours of cooking activities of varying complexity. It contains 10 different cooking tasks (with about 170 videos per task), which can...

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Youtube-Objects

Video object segmentation is challenging due to the factors like rapidly fast motion, cluttered backgrounds, arbitrary object appearance variation and shape deformation.

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DAVIS-17 Dataset

The DAVIS-17 dataset, which is a benchmark for video object segmentation.

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OMG-Seg Dataset

The dataset used for training and testing the OMG-Seg model, which includes COCO panoptic, COCO-SAM, VIPSeg, Youtube-VIS-2019, and Youtube-VIS-2021 datasets.

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Video k-net: A Simple, Strong, and Unified Baseline for Video Segmentation

Video k-net: A simple, strong, and unified baseline for video segmentation.

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Tube-Link: A Flexible Cross Tube Framework for Universal Video Segmentation

Video segmentation aims to segment and track every pixel in diverse scenarios accurately. This paper presents Tube-Link, a versatile framework that addresses multiple core tasks...

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VIPSeg

The VIPSeg dataset contains videos with annotations for video panoptic segmentation.

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DAVIS

The DAVIS dataset is a widely used dataset for video-related tasks, consisting of approximately 2000 frames from 26 human-centric scenarios.

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CamVid

The dataset used in the paper is a pre-trained ResNet-50 classiﬁer, which is used for image synthesis, unpaired image-to-image translation, and feature similarity estimation.

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COIN

The COIN dataset is a large-scale instructional video dataset that contains 100 hours of video. The dataset is used for instructional video analysis and understanding.

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Viper dataset

The Viper dataset is a visual perception benchmark to facilitate both low-level and high-level vision tasks, e.g., optical flow and semantic segmentation. It consists of videos...

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21 datasets found