Search Results for "data masking" - Page 2

...Once installed, users can manually define regions in an image and creating a textual description. Generally, objects can be marked by a bounding box, either directly, through a masking tool, or by marking points to define the containing area. COCO Annotator allows users to annotate images using free-form curves.

For Oracle database, mask sensitive data by replacement (static or expression), substitution (synthetic data set is included), random values (Lorum Ipsum) or deletion. Generates update/delete statements or triggers or runs directly against the database.

See: Clarke, K. C. (2015) Multi-scale Masking of Point Geographic Data. International Journal of Geographical Information Science. vol. 29. (accepted)

It is an audio-video recorder daemon with motion and noise detection. Detecting motion it buffers captured data, so the precise moment of event beginning is not clipped. It packed with a GUI program for configuration tuning.

XTCC/Qscript revolves around two concepts: 1) Data collection : Qscript 2) Data analysis : XTCC Qscript enables Market Research companies to securely collect data using online and offline mediums such as web, tablets/mobile. Different products include: 1) Pen and Paper Survey Management Qscript enables faster and easier keyboard entry with real time logic and validation. It generates SPSS and IBM Quantum compatible data tabulation programs leading to significant time savings of up...

TechMVC is a very powerful and highly optimized MVC2 based web application framework, which enables developers to build high performance Website. Current Version: 3.1.1 Features Upgraded: =============== 1. Meta Character set support enabled. Can be specified from Config.php($var->defaultCharacterSet). Default: utf-8 2. Following functions added: a. TechMVC::LoadLibrary($path, $shared = false) -> Include library to TechMVC runtime. b. In Config.php varriable...

The csvdatamix project aims to randomize CSV input data files in order to conceal the original state of the data. Similar to data masking or data transformation. Also has mapping abilities to translate back to the original state of the data.

roberta-base is a robustly optimized variant of BERT, pretrained on a significantly larger corpus of English text using dynamic masked language modeling. Developed by Facebook AI, RoBERTa improves on BERT by removing the Next Sentence Prediction objective, using longer training, larger batches, and more data, including BookCorpus, English Wikipedia, CC-News, OpenWebText, and Stories. It captures contextual representations of language by masking 15% of input tokens and predicting them. RoBERTa is designed to be fine-tuned for a wide range of NLP tasks such as classification, QA, and sequence labeling, achieving strong performance on the GLUE benchmark and other downstream applications.

Bio_ClinicalBERT is a domain-specific language model tailored for clinical natural language processing (NLP), extending BioBERT with additional training on clinical notes. It was initialized from BioBERT-Base v1.0 and further pre-trained on all clinical notes from the MIMIC-III database (~880M words), which includes ICU patient records. The training focused on improving performance in tasks like named entity recognition and natural language inference within the healthcare domain. Notes were...