A communal biometrics framework supporting the development of open algorithms and reproducible evaluations. OpenBR is a framework for investigating new...face detection, biometric, age estimation, gender estimation
AudioSet consists of an expanding ontology of 632 audio event classes and a collection of 2,084,320 human-labeled 10-second sound clips drawn from YouTu...google, vehicle, music, speech
It is hard to find the relevant datasets for a machine learning problem you are working on. We believe researchers should focus on improving the models and innovating in AI. We are here to help you with the time consuming peice of finding datasets.
Launching with 1000+ datasets across multiple fields with a goal to continously increase this number.
A community for AI researchers & developers to learn and share their knowledge of datasets and models.
We are focussed on increasing the searchability of datasets, both by better underlying metadata and better UI.
Coming Soon! We are exploring an option to create a dataset marketplace to further simply the process of acquiring datasets.
If you have any feedback or any features you will like us build on, please send an email to firstname.lastname@example.org
This database can be used for food recognition and segmentation. The database is composed of 1,027 tray images with multiple foods and containing 73 foo...food segmentation, Food recognition
The Raw Food Texture database (RawFooT) has been specially designed to investigate the robustness of descriptors and classification methods with respect...texture, food
This dataset consists of RGB-D videos in indoor scenes, and has dense, per-frame segmentation labels for both object and material categories. Moreover, ...Depth, Objects, Semantic Segmentation, Materials, RGB-D, Scene Understanding, Audio-visual, Audio, Places, Scenes
DukeMTMC-reID is a subset of the DukeMTMC for image-based re-identification, in the format of the Market-1501 dataset. There are 16,522 training images ...person re-ID, person re-identification, person search, pedestrian retrieval
Signup to start to collaborating, contributing and participating in the dataset discussions! You can always browse the datasets without signing up.