The MSR Learning to Rank are two large scale datasets for research on learning to rank: MSLR-WEB30k with more than 30,000 queries and a random sampling of it MSLR-WEB10K with 10,000 queries.
The Berkeley DeepDrive Video Dataset contains 2x order of magnitude more video training data.
driving, urban, learning, endtoend, deep, autonomousPN Learning - How does TLD work? Tracking estimates the object location as long as the object is visible. During tracking all observed patterns of the...
face, pedestrian, singletarget, learning, bike, object trackingAWS hosts a variety of public datasets that anyone can access for free. Previously, large datasets such as satellite imagery or genomic data have requi...
space, human, recognition, image, amazon, satellite, segmentation, learning, deep, classification, biology, resolutionPlaces205 dataase contains 2.5 million images from 205 scene categories for the academic public. The image dataset contains 2,448,873 images from 205 ...
urban, learning, scene, feature, place, recognitionThe Extreme Classification Repository: Multi-label Datasets & Code Kush Bhatia Himanshu Jain Prateek Jain Manik Varma The objective in extreme mu...
multilabel, machine, learning, benchmark, evaluation, classificationThe Make3D Depth dataset s designed to learn features to estimate scene depth from a single image. This dataset contains aligned image and range data:...
single view, learning, indoor, outdoor, depth estimation