Image Segmentation - Groups

Task-Aware Low-Rank Adaptation of Segment Anything Model

The Segment Anything Model (SAM) has been proven to be a powerful foundation model for image segmentation tasks, which is an important task in computer vision. However, the...

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LVIS: A dataset for segment anything model (SAM)

A dataset for segment anything model (SAM) to evaluate its performance.

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MobileSAMv2: Faster Segment Anything to Everything

Segment anything model (SAM) addresses two practical yet challenging segmentation tasks: segment anything (SegAny), which utilizes a certain point to predict the mask for a...

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FloodNet

FloodNet is a high-resolution image dataset acquired by a small UAV platform, DJI Mavic Pro quadcopters, after Hurricane Harvey.

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OCR dataset

The OCR dataset is a dataset of handwritten digits, each image is an 8x16 binary image, and there are 52152 samples in total.

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LVIS-92i

The LVIS-92i dataset contains 92 images with 92 object categories.

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PACO-Part

The PACO-Part dataset contains 59 images with 59 object categories.

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PerSeg

The PerSeg dataset contains 40 images with 40 object categories.

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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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PASCAL-Part

PASCAL-Part is a dataset for semantic part segmentation. It contains images of cars and horses with annotated part segmentation masks.

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Synthetic Data

The dataset used in the paper is a synthetic dataset for off-policy contextual bandits, with contexts x ∈ X, a finite set of actions A, and bounded real rewards r ∈ A → [0, 1].

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PASCAL

A dataset of textual entailment tasks, used for evaluating the ability of language models to understand relationships between texts.

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Laryngeal Dataset for Comparative Study on CNN Based Semantic Segmentation

A novel dataset of laryngeal endoscopic images with ground truth segmentation maps for comparative study on CNN-based semantic segmentation.

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CITY-OSM

CITY-OSM dataset includes Berlin and Potsdam in Germany, Chicago in the United States, Paris in France, Zurich in Switzerland and Tokyo in Japan, with a total of 1641 aerial...

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Private Dataset

A private dataset of UAV-borne remote sensing images with a resolution between 10000×10000 and 20000×20000 is constructed. Each remote sensing image which corresponds to the red...

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COCO validation dataset

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Material Segmentation Dataset

The material segmentation dataset is a publicly available dataset containing 3,817 images extracted from the Virginia Department of Transportation bridge inspection reports with...

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Samba: Semantic Segmentation of Remotely Sensed Images with State Space Model

High-resolution remotely sensed images pose a challenge for commonly used semantic segmentation methods such as Convolutional Neural Network (CNN) and Vision Transformer (ViT).

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RIT-18 Image Set

The RIT-18 image set contains a single aerial training image with a spatial resolution of 0.047 m.

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DSTL Image Set

The DSTL image set comprises 25 satellite images covering a region of 1000 m × 1000 m.

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260 datasets found