Posts Tagged ‘Object Detection’

Human Protein Atlas Image

Human Protein Atlas Image: This dataset contains protein images of human body available from the Human Protein Atlas Image Classification Competition on Kaggle or from The Human Protein Atlas page https://www.proteinatlas.org/cell. The dataset might be either used for the Kaggle Competition, research and education and non-commercial purposes. Please refer to the competition rules on Kaggle…

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COIL-100

COIL-100: This dataset contains color images of objects at every 5 angles in a 360 degree rotation. The dataset was collected by the Center for Research on Intelligent Systems at the Department of Computer Science, Columbia University. This dataset was used in a real-time image recognition study. Here is some information regarding this dataset: Number…

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LFW: Labeled Faces in the Wild

LFW: Labeled Faces in the Wild: This dataset contains labeled face images collected from the web with names of the people in the images as the labels. Some of these people have two or more number of images in the dataset. This dataset is designed for studying the problem of unconstrained face recognition and face…

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COCO

COCO: This image dataset contains image data suitable for object detection and segmentation. It contains 5 annotation types for Object Detection, Keypoint Detection, Stuff Segmentation, Panoptic Segmentation and Image Captioning all explained in details on the data format section of the dataset page (http://cocodataset.org/#format-data). Here is some information regarding the latest version of this dataset:…

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SUN

SUN: This dataset contains thousands of color images for scenes recognition provided by Princeton University. The images include environmental scenes, places and objects. To create the dataset, WordNet English dictionary is used to find any nouns completing the sentence “I am in -a place-“ or “Let’s go to -the place-“ and data samples are manually…

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LSUN

LSUN: This dataset contains millions of color images for scenes and objects which is far bigger than ImageNet dataset. The labels for this dataset are available based on human’s effort for labeling in conjunction with several different image classification models. The images are from parent databases Pascal Voc 2012 and 10 Million Images for 10…

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