Animals with attributes

This dataset provides a plattform to benchmark transfer-learning algorithms, in particular attribute base classification [1,2]. It consists of 30475 images of 50 animals classes with six pre-extracted feature representations for each image. The animals classes are aligned with Osherson's classical class/attribute matrix [3,4], thereby providing 85 numeric attribute values for each class. Using the shared attributes, it is possible to transfer information between different classes.

Dataset Attributes

TasksClassification

CategoriesAnimal, Wildlife, Creatures

SensorRGB Camera

Class Labels

blackwhitebluebrowngrayorangeredyellowpatchesspotsstripesfurryhairlesstoughskinbigsmallbulbousleanflippershandshoovespadspawslongleglongnecktailchewteethmeatteethbuckteethstrainteethhornsclawstuskssmellyflyshopsswimstunnelswalksfastslowstrongweakmusclebipedalquadrapedalactiveinactivenocturnalhibernateagilityfishmeatplanktonvegetationinsectsforagergrazerhunterscavengerskimmerstalkernewworldoldworldarcticcoastaldesertbushplainsforestfieldsjunglemountainsoceangroundwatertreecavefiercetimidsmartgroupsolitarynestspotdomestic