データセットダウンロード | MADB Lab
データセットについての説明はこちらを御覧ください。 マンガ マンガ単行本 json-ld (39.4MB) turtle (35.8MB) マンガ雑誌各号 json-ld (6.8MB) turtle (6.3MB) マンガその他 json-ld (359KB) turtle (344KB) マンガ単行本シリーズ json-ld (14.2MB) turtle (13.0MB) マンガ雑誌 json-ld (423KB) turtle (400KB) マンガ雑誌掲載履歴 json-ld (2.1MB) turtle (1.9MB) マンガ雑誌内容細目 json-ld (23.6MB) turtle (21.3MB) マンガ所蔵 json-ld (18.1MB) turtle (17.3MB) アニメ アニメテレビ番組 json-ld (8.7MB) turtle (8.2MB) アニメビデ
Retro Contest
In typical RL research, algorithms are tested in the same environment where they were trained, which favors algorithms which are good at memorization and have many hyperparameters. Instead, our contest tests an algorithm on previously unseen video game levels. This contest uses Gym Retro, a new platform integrating classic games into Gym, starting with 30 SEGA Genesis games. The OpenAI Retro Conte
Cartoon Set: An Image Dataset of Random Cartoons
Cartoon Set is a collection of random, 2D cartoon avatar images. The cartoons vary in 10 artwork categories, 4 color categories, and 4 proportion categories, with a total of ~1013 possible combinations. We provide sets of 10k and 100k randomly chosen cartoons and labeled attributes. These cartoons helped develop the technology behind the personalized stickers in Google Allo. Download Allo to try i
WIDER FACE: A Face Detection Benchmark
Face detection is one of the most studied topics in the computer vision community. Much of the progresses have been made by the availability of face detection benchmark datasets. We show that there is a gap between current face detection performance and the real world requirements. To facilitate future face detection research, we introduce the WIDER FACE dataset, which is 10 times larger than exis
FDDB : Main
Welcome to the Face Detection Data Set and Benchmark (FDDB), a data set of face regions designed for studying the problem of unconstrained face detection. This data set contains the annotations for 5171 faces in a set of 2845 images taken from the Faces in the Wild data set. More details can be found in the technical report below. Explore the database: Sample annotations Frequently asked questions
INRIA Person dataset
This dataset was collected as part of research work on detection of upright people in images and video. The research is described in detail in CVPR 2005 paper Histograms of Oriented Gradients for Human Detection and my PhD thesis. The dataset is divided in two formats: (a) original images with corresponding annotation files, and (b) positive images in normalized 64x128 pixel format (as used in the
TechCrunch | Startup and Technology News
Finbourne, founded out of London’s financial center, has built a platform to help financial companies organize and use more of their data in AI and other models. Even as quick commerce startups are retreating, consolidating or shutting down in many parts of the world, the model is showing encouraging signs in India. Consumers in urban cities are embracing the convenience of having groceries delive
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KMNIST-MNIST replacement
AVA: A Video Dataset of Atomic Visual Action
VisualGenome
COCO - Common Objects in Context