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This project is a large-scale dataset of hand-drawn sketches, providing millions of timestamped vector drawings and bitmaps for training machine learning models. It serves as a computer vision training corpus and a neural network dataset, consisting of categorized human sketches used to develop image classification and recognition algorithms. The dataset is available as a vector drawing corpus featuring stroke-by-stroke sequences and metadata, as well as processed numpy arrays. These resources support the development of drawing classifiers and the study of human drawing patterns. The data is
Gaming video streaming applications such as Twitch.tv have gained much attention in the recent years and are currently responsible for a significant share of video streaming over the internet. Unlike traditional Video on Demand (VoD) streaming services, gaming videos are streamed live and hence…
A dataset of 2D imagery, 3D point cloud data, and 3D vehicle bounding box labels all generated using the Grand Theft Auto 5 game engine. The dataset contains image and depth map data captured at 1680x1050 resolution and oriented 3D bounding box labels of all vehicles. It is 55GB in total.
The main features of oscarmcnulty/gta-3d-dataset are: Game Datasets.
Projects with overlapping indexed features include: biuni/pokemongo-pokedex — Pokédex of Pokémon GO in JSON. (1st generation). craigkelly/steam-data — A simple data project for Steam data. googlecreativelab/quickdraw-dataset — This project is a large-scale dataset of hand-drawn sketches, providing millions of timestamped vector drawings and… nabajeetbarman/gaminghdrvideoset — Gaming video streaming applications such as Twitch.tv have gained much attention in the recent years and are currently… oganm/dnddata — README. torchcraft/stardata — We release the largest StarCraft: Brood War replay dataset yet, with 65646 games. The full dataset after compression…
