Horn™ on the App Store
"NOTE: HIGH DEFINITION GRAPHICS AND ADVANCED FEATURES ONLY SUPPORTED ON iPad2, Latest iPad, iPhone4S, iPhone5, iPod 5th Generation!" NOTE: Horn is a graphically rich game with advanced features. To OPTIMIZE your playing experience, you may want to turn off other apps before playing. **IGN-“ Horn is this year’s most impressive iOS game”** **AOL- “Horn is a testament to what is possible on mobile”
Plant Identification 2012 | ImageCLEF / LifeCLEF - Multimedia Retrieval in CLEF
Dataset: A public package containing the data of the 2012 plant retrieval task is now available (including the ground truth, an executable to compute scores, the working notes and presentations at ImageCLEF2012 Workshop, and additional informations). The entire data is under Creative Common license. Context If agricultural development is to be successful and biodiversity is to be conserved, then a
Caltech-UCSD Birds 200
Warning: Images in this dataset overlap with images in ImageNet. Exercise caution when using networks pretrained with ImageNet (or any network pretrained with images from Flickr) as the test set of CUB may overlap with the training set of the original network. For a newer revision of this dataset with more images and annotations, see Caltech-UCSD Birds-200-2011 Details Caltech-UCSD Birds 200 (CUB-
n_hidekeyの日記
Visual Object Recognition (Synthesis Lectures on Artificial Intelligence and Machine Learning) 作者: Kristen Grauman,Bastian Leibe出版社/メーカー: Morgan & Claypool Publishers発売日: 2011/02/28メディア: ペーパーバック購入: 12人 クリック: 182回この商品を含むブログを見る最近読んだ本の紹介をしたいと思います。 名前の通り画像認識に関するチュートリアル本で、出版されたのは2011年2月28日です。 著者がKristen GraumanとBastian Leibeの二人なので、これはと思い衝動買いしてしまいましたが、期待通りいい内容でした。 前半と後半で特定物体認識と一般物体認識の話に大きく分かれており、それぞれ基礎か
ImageNet
ImageNet Large Scale Visual Recognition Challenge 2012 (ILSVRC2012) Introduction Task Timetable Citationnew Organizers Contact Workshop Download Evaluation Server News September 2, 2014: A new paper which describes the collection of the ImageNet Large Scale Visual Recognition Challenge dataset, analyzes the results of the past five years of the challenge, and even compares current computer accurac
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