Dataset for the paper "Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak Supervision". The dataset is downloaded from the authors' website (https://roc-ng.github.io/XD-Violence/). Hosting this dataset on HuggingFace is just to make it easier for my own project to use this dataset. Please cite the original paper if you use this dataset.

Xd

## Overview

Xd is a dataset for object detection tasks - it contains Trees People Insects annotations for 344 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Free-Cash-Flow-To-The-Firm Time Series for Xd Inc. XD Inc., an investment holding company, develops, publishes, operates, and distributes mobile and web games in Mainland China and internationally. It operates through the Game and TapTap platform segments. The company operates TapTap, a game community and platform that provides online marketing services to game developers, and game publishers or their agents, as well as provides information services. Its game portfolio comprises online games and premium games. In addition, the company is involved in the catering business; and invests in game development entities. XD Inc. was founded in 2011 and is headquartered in Shanghai, the People's Republic of China.

20min-XD: A Comparable Corpus of Swiss News Articles

  Dataset Summary

20min-XD (20 Minuten cross-lingual document-level) is a comparable corpus of Swiss news articles in German and French, collected from the online editions of 20 Minuten and 20 minutes between 2015 and 2024. The dataset consists of 15,000 semantically aligned German and French article pairs. Unlike parallel corpora, 20min-XD captures a broad spectrum of cross-lingual similarity, ranging from… See the full description on the dataset page: https://huggingface.co/datasets/ZurichNLP/20min-XD.

Dataset

This dataset was created by Medo

Released under CC0: Public Domain

Contents

The XD-Violence dataset is a large-scale multimodal video dataset for violence detection. It consists of 4,754 untrimmed videos with a total duration of 217 hours, covering six violence types and providing RGB, optical flow, and audio streams for each video.

Xd

## Overview

Xd is a dataset for instance segmentation tasks - it contains Sillas annotations for 8,328 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [Public Domain license](https://creativecommons.org/licenses/Public Domain).

OSFP-XD Module Market Outlook

According to our latest research, the OSFP-XD Module market size reached USD 612 million in 2024, with a robust compound annual growth rate (CAGR) of 32.8% anticipated from 2025 to 2033. By the end of 2033, the global OSFP-XD Module market is forecasted to achieve a valuation of USD 6,340 million. The primary growth factor fueling this expansion is the surging demand for ultra-high-speed data transmission in hyperscale data centers, which is driving rapid adoption of next-generation optical modules across multiple industries.

The OSFP-XD Module market is experiencing significant momentum due to the exponential growth of global data traffic, primarily fueled by the proliferation of cloud computing, artificial intelligence, and the Internet of Things (IoT). As enterprises and service providers continue to expand their digital infrastructure, the need for scalable, high-bandwidth, and energy-efficient interconnect solutions has become paramount. OSFP-XD modules, with their ability to support data rates up to 1.6T and beyond, are increasingly being integrated into the backbone of data centers and high-performance networks. Furthermore, the relentless migration towards 400G, 800G, and 1.6T networks is accelerating the replacement of legacy transceiver modules, positioning OSFP-XD as a critical enabler of next-generation digital transformation.

Another key growth driver for the OSFP-XD Module market is the escalating adoption of artificial intelligence and machine learning applications, which require massive data throughput and ultra-low latency. As AI workloads intensify, data centers are compelled to upgrade their network architectures to accommodate the immense bandwidth and processing requirements. OSFP-XD modules, known for their high port density and energy efficiency, are ideally suited to meet these demands, enabling seamless scaling of infrastructure without compromising performance. Additionally, the ongoing transition to 5G and the rise of edge computing are creating new avenues for OSFP-XD deployment, particularly in telecommunications and enterprise networking environments where speed, flexibility, and reliability are critical.

Technological advancements in optical module design and manufacturing are also propelling market growth. Innovations such as advanced packaging, integration of silicon photonics, and improved thermal management are enhancing the performance and reliability of OSFP-XD modules. These breakthroughs are not only reducing the total cost of ownership but also enabling more compact, power-efficient solutions that can be deployed in high-density environments. As a result, both established players and new entrants are investing heavily in research and development to capture emerging opportunities in the OSFP-XD ecosystem, further intensifying competition and accelerating the pace of innovation.

From a regional perspective, North America currently leads the OSFP-XD Module market, accounting for the largest share due to the presence of major cloud service providers and hyperscale data centers. However, the Asia Pacific region is rapidly catching up, driven by aggressive investments in digital infrastructure, the expansion of 5G networks, and the burgeoning demand for high-speed connectivity in emerging economies. Europe is also witnessing steady growth, supported by government initiatives to enhance broadband infrastructure and foster digital transformation. Meanwhile, Latin America and the Middle East & Africa are expected to register healthy growth rates, albeit from a smaller base, as enterprises and telecom operators in these regions embark on large-scale network modernization projects.

Product Type Analysis

The OSFP-XD Module market is segmented by product type into Active Optical Modules and Passive Optical Modules, each catering to distinct application requirements and technical specifications. Active Optical Modules, which incorporate embedded electronics and signal processin

Chromosome relative length, supplemental formulae : Explanation note: Chromosome relative length, supplemental formulae and all of the original images are made available under the online digital repository Figshare, and it is free to access, in adherence to the principle of open data, more details in https://figshare.com/s/8d21a0db9ffe1f17d279

CAFE?XD

## Overview

CAFE?XD is a dataset for object detection tasks - it contains CAFE HOJAS annotations for 629 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Data item of the type homologous_superfamily from the database ssf with accession SSF101089 and name Phosphoprotein XD domain

Skin Cancer Finding Bot Xd

## Overview

Skin Cancer Finding Bot Xd is a dataset for object detection tasks - it contains Skin Cancer annotations for 654 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Text Detection XD S

## Overview

Text Detection XD S is a dataset for object detection tasks - it contains Text Russian annotations for 1,218 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [Public Domain license](https://creativecommons.org/licenses/Public Domain).

CAFEEE TESTING XD

## Overview

CAFEEE TESTING XD is a dataset for object detection tasks - it contains CAFE HOJAS annotations for 629 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Meulabs XD

## Overview

Meulabs XD is a dataset for object detection tasks - it contains Objects annotations for 282 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Friedman test - XD

Friedman test results - XD

Esta folha é parte integrante da série Carta Topográfica 1:100.000, uma das escalas que compõem o Sistema Cartográfico Nacional - SCN. O IBGE desenvolve a produção desta série em conjunto com a Diretoria de Serviço Geográfico - DSG. Cada folha 1:100.000 abrange um quadrilátero geográfico de 30' de latitude e 30' de longitude. O presente conjunto de dados matriciais representa a carta analógica convertida para o meio digital.