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PASCAL VOC Dataset
The PASCAL VOC dataset contains 20 classes, including person, animal, vehicle, and indoor, with 9,963 images containing 24,640 annotated objects. -
Microsoft COCO: common objects in images
Microsoft COCO: common objects in images. -
COCO object detection and instance segmentation, ADE20K semantic segmentation
The dataset used in the paper is the COCO object detection and instance segmentation dataset, and the ADE20K semantic segmentation dataset. -
GEODIFFUSION: TEXT-PROMPTED GEOMETRIC CONTROL FOR OBJECT DETECTION DATA GENER...
Diffusion models have attracted significant attention due to the remarkable ability to create content and generate data for tasks like image classification. However, the usage... -
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
Remote sensing images have different shooting angles and methods compared to ordinary ones, which makes remote sensing images play an irreplaceable role in some areas. -
COCO and PASCAL VOC datasets
The dataset used in the paper is the COCO dataset and the PASCAL VOC dataset. -
Adversarial Patch Dataset
The dataset used in the paper is a collection of adversarial patches, with each patch designed to evade object detection models. -
Pascal VOC, Pascal Context, COCO-Object, Cityscapes, and ADE20k datasets
The Pascal VOC, Pascal Context, COCO-Object, Cityscapes, and ADE20k datasets are used for evaluation of the proposed method. -
Segment Anything (SA-1B)
SA-1B is a large-scale benchmark for instance segmentation and object detection. -
Large Vocabulary Instance Segmentation Dataset (LVIS)
LVIS is a large-scale benchmark for instance segmentation and object detection. -
EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM
EdgeSAM is an accelerated variant of the Segment Anything Model (SAM) optimized for efficient execution on edge devices with minimal compromise in performance. -
MS COCO: Common Objects in Context
MS COCO: Common Objects in Context -
MMDetection: Open MMLab Detection Toolbox and Benchmark
MMDetection: Open MMLab Detection Toolbox and Benchmark -
KITTI, Waymo Open Dataset
The dataset used in the paper for 2-D and 3-D object detection, including aerial images, scene text, and face detection. -
DOTA, HRSC2016, DIOR-R, UCAS-AOD, ICDAR2015, ICDAR2017 MLT, MSRA-TD500, FDDB
The dataset used in the paper for 2-D and 3-D object detection, including aerial images, scene text, and face detection. -
Microsoft COCO: common objects in context
The COCO dataset is a large-scale dataset for object detection and image classification.
