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DiffusionEngine: Diffusion Model is Scalable Data Engine for Object Detection
DiffusionEngine is a scalable and efficient data engine for object detection that generates high-quality detection-oriented training pairs in a single stage. -
Open-Set Semi-Supervised Object Detection
Open-Set Semi-Supervised Object Detection aims to leverage the unconstrained unlabeled images to improve an object detector trained with the available labeled data. -
Cars Overhead With Context (COWC) dataset
The dataset used in the paper is the Cars Overhead With Context (COWC) dataset, which contains images of cars in overhead imagery. -
iNaturalist-2017
A dataset of images with annotated objects. -
Open Images
The Open Images dataset is a large-scale image dataset with a wide range of images, including but not limited to, street scenes, indoor scenes, and outdoor scenes. -
ESD dataset
The ESD dataset offers finetuned weights for the 'car' and 'French-horn' classes. -
French-horn dataset
The French-horn dataset comprises merely 10 identical prompts with different evaluation seeds. -
Pascal VOC 2012
The dataset used in the paper is the Pascal VOC 2012 dataset, which is a benchmark for instance segmentation. The dataset consists of 1464 images with 20 class categories and... -
Object Detection on Streaming Video
The dataset used for object detection on streaming video from the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) 2015. -
ImageNet-1K, ADE20K, and COCO 2017
The dataset used in the paper is ImageNet-1K, ADE20K, and COCO 2017. -
COCO Stuff
COCO Stuff dataset is an extension of the COCO dataset, 164,000 images covering 171 classes are annotated with segmentation masks. -
DS-1, DS-2, DS-3, DS-4, DS-5
The dataset used for object detection in industrial scenarios, with a focus on small objects. -
Caltech dataset
The Caltech dataset is a dataset of images used to evaluate the performance of the ODIN system. -
Microsoft Common Objects in Context (COCO) dataset
The Microsoft Common Objects in Context (COCO) dataset is a benchmark for object detection, segmentation, and image classification. -
Pascal Visual Object Classes (VOC) dataset
The Pascal Visual Object Classes (VOC) dataset is a benchmark for object detection and image classification.
