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Datasets/MoCA-Mask

MoCA-Mask

Moving Camouflaged Animals (MoCA)-Mask

VideosIntroduced 2022-03-14

The original Moving Camouflaged Animals (MoCA) Dataset includes 37K frames from 141 YouTube Video sequences with resolution and sampling rate of 720 × 1280 and 24fps in the majority of cases. The dataset covers 67 types of animals moving in natural scenes, but some are not camouflaged animals. Also, the ground truth of the original dataset is bounding boxes rather than dense segmentation masks, which makes it hard to evaluate the VCOD segmentation performance. To this end, we reorganize the dataset as MoCA-Mask and build a comprehensive benchmark with more comprehensive evaluation criteria.

Benchmarks

16k/S-measure 16k/weighted F-measure 16k/MAE 16k/mDice 16k/mIoU 2D Classification/S-measure 2D Classification/weighted F-measure 2D Classification/MAE 2D Classification/mDice 2D Classification/mIoU 2D Object Detection/S-measure 2D Object Detection/weighted F-measure 2D Object Detection/MAE 2D Object Detection/mDice 2D Object Detection/mIoU 3D/S-measure 3D/weighted F-measure 3D/MAE 3D/mDice 3D/mIoU Camouflaged Object Segmentation/S-measure Camouflaged Object Segmentation/weighted F-measure Camouflaged Object Segmentation/MAE Camouflaged Object Segmentation/mDice Camouflaged Object Segmentation/mIoU Object Detection/S-measure Object Detection/weighted F-measure Object Detection/MAE Object Detection/mDice Object Detection/mIoU Object Segmentation/S-measure Object Segmentation/weighted F-measure Object Segmentation/MAE Object Segmentation/mDice Object Segmentation/mIoU

Statistics

Papers: 17
Benchmarks: 35

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Tasks

16k 2D Classification 2D Object Detection 3D Camouflaged Object Segmentation Object Detection Object Segmentation