Sort

## Overview

Sort is a dataset for object detection tasks - it contains Sort annotations for 1,856 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).

Sleek Sort

## Overview

Sleek Sort is a dataset for object detection tasks - it contains Cops annotations for 5,865 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).

Dataset

This dataset was created by Shreyansh Garg

Contents

Sort items into background or foreground

Deform Sort Bounding

## Overview

Deform Sort Bounding is a dataset for object detection tasks - it contains Fish JuaJ ZYZH annotations for 273 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).

parzi-parzi/v0.8.3-patch-gen-dataset-topo-sort-extended dataset hosted on Hugging Face and contributed by the HF Datasets community

Table of quantitative issues reported for each analytical grid (TRI, commune, district) and for each flood scenario.European Directive 2007/60/EC of 23 October 2007 on the assessment and management of flood risks (OJ 2007 L 288, 06-11-2007, p. 27) influences the flood prevention strategy in Europe. It requires the production of flood risk management plans aimed at reducing the negative consequences of flooding on human health, the environment, cultural heritage and economic activity.The objectives and requirements for implementation are set out in the Law of 12 July 2010 on a national commitment for the environment (LENE) and the decree of 2 March 2011. In this context, the primary objective of flood and flood risk mapping for IRRs is to contribute, by homogenising and objectivating knowledge of flood exposure, to the development of flood risk management plans (WRMs).This data set is used to produce maps of the issues exposed at an appropriate scale.

This dataset is about books. It has 2 rows and is filtered where the book is The blood order. It features 7 columns including author, publication date, language, and book publisher.

Description:

This dataset contains two related tables: sales and ingredients. It is designed for projects focusing on sales forecasting, ingredient optimization, and supply chain management for a pizza delivery business. By leveraging historical data, users can build predictive models to minimize ingredient waste, prevent stockouts, and optimize purchasing strategies.

Dataset Details:

1. Sales Table:
- Shape: 48,620 rows × 16 columns - Columns: - pizza_id: Unique identifier for a pizza. - order_id: Unique identifier for a sales order. - pizza_name_id: Identifier linking the pizza to its recipe. - quantity: Number of pizzas sold. - unit_price: Price per unit of pizza. - total_price: Total price for the order. - pizza_size, pizza_category: Size and category of the pizza. - pizza_ingredients: Ingredients used in the pizza. - Year, Month, Day, Hour, Minute, Second: Timestamp details of the order.

2. Ingredients Table: - Shape: 518 rows × 4 columns - Columns: - pizza_name_id: Identifier linking the pizza to its recipe. - pizza_name: Name of the pizza. - pizza_ingredients: List of ingredients in the pizza. - Items_Qty_In_Grams: Quantity of each ingredient in grams.

Use Cases:

• Sales forecasting to predict future demand.
• Ingredient optimization for reducing waste and preventing shortages.
• Supply chain analysis and inventory planning.

Potential Applications:

• Time series analysis and forecasting.
• Machine learning models for predictive analytics.
• Data visualization for understanding sales and ingredient trends.

These data were extracted from the High Resolution National Hydrography Dataset Plus (NHDPlus HR), an integrated set of geospatial data layers, including the National Hydrography Dataset (NHD), National Watershed Boundary Dataset (WBD), and 3D Elevation Program Digital Elevation Model (3DEP DEM). The NHDPlus HR combines the NHD, 3DEP DEMs, and WBD to a data suite that includes the NHD stream network with linear referencing functionality, the WBD hydrologic units, elevation-derived catchment areas for each stream segment, "value added attributes" (VAAs), and other features that enhance hydrologic data analysis and routing.

🇫🇷 프랑스

The San Francisco Controller's Office maintains a database of payments made to vendors from fiscal year 2007 forward. This data is presented on the Vendor Payments report hosted at http://openbook.sfgov.org, and is also available in this dataset in CSV format, which represents summary data by purchase order. We have removed sensitive information from this data – this is intended to show payments made to entities providing goods and services to the City and County and to protect individuals. For example, we have removed payments to employees (reimbursements, garnishments) and jury members, revenue refunds, payments for judgments and claims, witnesses, relocation and rehousing, and a variety of human services payments. New data is added on a weekly basis. Supplier payments represent payments to City contractors and vendors that provide goods and/or services to the City. Certain other non-supplier payee payments, which are made to parties other than traditional City contractors and vendors, are also included in this dataset, These include payments made for tax and fee refunds, rebates, settlements, etc.

This data set includes the number and percent of visits for COVID-19 like illness (CLI) at emergency departments and urgent cares in Virginia by week end date and by health district. This data set was first published on July 20, 2020. The data set increases in size daily and as a result, the dataset may take longer to update; however, it is expected to be available by 12:00 noon weekly. When you download the data set, the dates will be sorted in ascending order, meaning that the earliest date will be at the top. To see data for the most recent date, please scroll down to the bottom of the data set.

This service provides web services used to obtain order releated data. Users of this service are intended to be healthcare providers

This dataset relates work completed for the purpose of installing and maintaining roadway markings and street signs across the City of Austin. Each row records time spent by one or more technicians who completed the work order. This work is managed by the Signs & Markings Division of the City of Austin Transportation Department. You may also be interested in these related datasets, which can be joined together using the work order ID columns: - Road Markings Work Orders: https://data.austintexas.gov/Transportation-and-Mobility/Roadway-Markings-Work-Orders/nyhn-669r - Road Markings Jobs: https://data.austintexas.gov/dataset/Work-Order-Markings-Jobs/vey3-7n3x - Signs Work Orders: https://data.austintexas.gov/dataset/Work-Order-Signs/ivss-na93 - Signs and Markings Reimbursements: https://data.austintexas.gov/dataset/Signs-and-Markings-Reimbursement-Tracking/pma8-yy5k

Table containing an object describing the right-of-way and useful characteristics of the flood risk territory produced for reporting purposes for the European Flood Directive.European Directive 2007/60/EC of 23 October 2007 on the assessment and management of flood risks (OJ L 288, 06-11-2007, p. 27) influences the flood prevention strategy in Europe. It requires the production of flood risk management plans aimed at reducing the negative consequences of flooding on human health, the environment, cultural heritage and economic activity.The objectives and requirements for implementation are set out in the Law of 12 July 2010 on a national commitment for the environment (LENE) and the decree of 2 March 2011. In this context, the primary objective of flood and flood risk mapping for IRRs is to contribute, by homogenising and objectivating knowledge of flood exposure, to the development of flood risk management plans (PGRIs).This dataset is used to produce flood surface maps and flood risk maps, respectively, representing flood hazards and issues exposed on an appropriate scale. Their objective is to provide quantitative evidence to further assess the vulnerability of a territory for the three levels of probability of flooding (high, medium, low).

Sign (Task & Work Order) Information from eWork.

The European Directive 2007/60/EC of 23 October 2007 on the assessment and management of flood risks (OJ 2007 L 288, 06-11-2007, p. 27) influences the flood prevention strategy in Europe. It requires the production of flood risk management plans aimed at reducing the negative consequences of flooding on human health, the environment, cultural heritage and economic activity.The objectives and requirements for implementation are set out in the Law of 12 July 2010 on a national commitment for the environment (LENE) and the decree of 2 March 2011. In this context, the primary objective of flood and flood risk mapping for IRRs is to contribute, by homogenising and objectivating knowledge of flood exposure, to the development of flood risk management plans (WRMs).This data set is used to produce maps of the issues exposed at an appropriate scale.

These are data sets and data analysis files in R for an eye movement experiment using the boundary paradigm to investigate parafoveal processing in Chinese by young and older adult readers. Participants read sentences containing two-character target words with high or low contextual predictability. Before the reader's gaze crossed an invisible boundary, each target was shown normally (a valid preview) or its characters were either transposed or replaced by unrelated characters, creating invalid previews that reverted to normal once the reader's gaze crossed the boundary. Transposed-character effects were similar for both groups suggesting that this intriguing aspect of parafoveal processing is preserved in older readers.

Accurate representation of stream networks at various scales in a hydrogeologic system is integral to modeling groundwater-stream interactions at the continental scale. To assess the accurate representation of stream networks, the distance of a point on the land surface to the nearest stream (DS) has been calculated. DS was calculated from the 30-meter Multi Order Hydrologic Position (MOHP) raster datasets for 18 watersheds in the United States that have been prioritized for intensive monitoring and assessment by the U.S. Geological Survey. DS was calculated by multiplying the 30-meter MOHP Lateral Position (LP) datasets by the 30-meter MOHP Distance from Stream Divide (DSD) datasets for stream orders one through five. DS was calculated for the purposes of considering the spatial scale needed for accurate representation of groundwater-stream interaction at the continental scale for a grid with 1-kilometer cell spacing. The data are available as Comma-Separated Value formatted files.

ChillyMango/sort-lego-blocks-white dataset hosted on Hugging Face and contributed by the HF Datasets community