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Dataset of legal contracts with rich expert annotations ~13,000 labels CSV and PDF Natural language processing, QnA 2021 The Atticus Project: Vietnamese Image Captioning Dataset (UIT-ViIC) Vietnamese Image Captioning Dataset 19,250 captions for 3,850 images CSV and PDF Natural language processing, Computer vision 2020 [112] Lam et al.
It is a dataset of pedestrians in urban environments. Pedestrians are box-wise labeled. Labeled part contains 15560 samples with pedestrians and 6744 samples without. Test set contains 21790 images without labels. Images Object recognition and classification 2006 [53] [54] [55] Daimler AG: CamVid
Download as PDF; Printable version; In other projects ... 64-bit kernel 2.4.x systems have an 8 EB limit for all file systems. ... in json format. [Project's main ...
It was derived from JavaScript, but many modern programming languages include code to generate and parse JSON-format data. JSON filenames use the extension .json. Douglas Crockford originally specified the JSON format in the early 2000s. [1] He and Chip Morningstar sent the first JSON message in April 2001.
int32: 32-bit little-endian 2's complement or int64: 64-bit little-endian 2's complement: Double: little-endian binary64: UTF-8-encoded, preceded by int32-encoded string length in bytes BSON embedded document with numeric keys BSON embedded document Concise Binary Object Representation (CBOR) \xf6 (1 byte)
Compared to JSON, BSON is designed to be efficient both in storage space and scan-speed. Large elements in a BSON document are prefixed with a length field to facilitate scanning. In some cases, BSON will use more space than JSON due to the length prefixes and explicit array indices. [2]
Sample images from MNIST test dataset The MNIST database ( Modified National Institute of Standards and Technology database [ 1 ] ) is a large database of handwritten digits that is commonly used for training various image processing systems.
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.