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  2. NTU RGB-D dataset - Wikipedia

    en.wikipedia.org/wiki/NTU_RGB-D_dataset

    The NTU RGB-D (Nanyang Technological University's Red Blue Green and Depth information) dataset is a large dataset containing recordings of labeled human activities. [1] This dataset consists of 56,880 action samples containing 4 different modalities (RGB videos, depth map sequences, 3D skeletal data, infrared videos) of data for each sample.

  3. List of datasets in computer vision and image processing

    en.wikipedia.org/wiki/List_of_datasets_in...

    Berkeley 3-D Object Dataset 849 images taken in 75 different scenes. About 50 different object classes are labeled. Object bounding boxes and labeling. 849 labeled images, text Object recognition 2014 [11] [12] A. Janoch et al. Berkeley Segmentation Data Set and Benchmarks 500 (BSDS500)

  4. Goodyear Polyglas tire - Wikipedia

    en.wikipedia.org/wiki/Goodyear_Polyglas_tire

    Increased fuel efficiency and tire mileage overcame the higher price of radial construction. According to a 1976 study, more police departments used steel or fabric radial-ply tires than belted bias-ply and bias or cross-ply tires for their pursuit cars. [15] Goodyear Polyglas tires are now manufactured for owners of period cars. [16]

  5. Nankang Rubber Tire - Wikipedia

    en.wikipedia.org/wiki/Nankang_Rubber_Tire

    Nankang Rubber Tire Corporation Ltd is the largest established tire manufacturer in Taiwan, having been started in 1940 by a group of engineers. [ citation needed ] Based originally upon the principles of Japanese manufacturing technologies, the company has grown substantially.

  6. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

  7. MNIST database - Wikipedia

    en.wikipedia.org/wiki/MNIST_database

    The set of images in the MNIST database was created in 1994. Previously, NIST released two datasets: Special Database 1 (NIST Test Data I, or SD-1); and Special Database 3 (or SD-2). They were released on two CD-ROMs. SD-1 was the test set, and it contained digits written by high school students, 58,646 images written by 500 different writers.

  8. Uniform Tire Quality Grading - Wikipedia

    en.wikipedia.org/wiki/Uniform_Tire_Quality_Grading

    Uniform Tire Quality Grading, commonly abbreviated as UTQG, is a set of standards for passenger car tires that measures a tire's treadwear, temperature resistance and traction. The UTQG was created by the National Highway Traffic Safety Administration in 1978, a branch of the United States Department of Transportation (DOT). [ 1 ]

  9. Normalization (image processing) - Wikipedia

    en.wikipedia.org/wiki/Normalization_(image...

    This approach utilizes the combination of RGB colors to derive a single maximum and minimum value for contrast stretching across the entire image. These contrast stretching techniques play a crucial role in enhancing the clarity and visibility of structures within images, particularly in scenarios with low contrast resulting from factors such ...