2 datasets found
  1. R

    Uno Cards Dataset

    • universe.roboflow.com
    zip
    Updated Jul 24, 2022
    + more versions
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    Joseph Nelson (2022). Uno Cards Dataset [Dataset]. https://universe.roboflow.com/joseph-nelson/uno-cards/model/3
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jul 24, 2022
    Dataset authored and provided by
    Joseph Nelson
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Variables measured
    Card Types Bounding Boxes
    Description

    Overview

    This dataset contains 8,992 images of Uno cards and 26,976 labeled examples on various textured backgrounds.

    This dataset was collected, processed, and released by Roboflow user Adam Crawshaw, released with a modified MIT license: https://firstdonoharm.dev/

    https://i.imgur.com/P8jIKjb.jpg" alt="Image example">

    Use Cases

    Adam used this dataset to create an auto-scoring Uno application:

    Getting Started

    Fork or download this dataset and follow our How to train state of the art object detector YOLOv4 for more.

    Annotation Guide

    See here for how to use the CVAT annotation tool.

    About Roboflow

    Roboflow makes managing, preprocessing, augmenting, and versioning datasets for computer vision seamless. :fa-spacer: Developers reduce 50% of their boilerplate code when using Roboflow's workflow, save training time, and increase model reproducibility. :fa-spacer:

    Roboflow Wordmark

  2. R

    Aerial Maritime Drone Object Detection Dataset - tiled

    • public.roboflow.com
    zip
    Updated Sep 28, 2022
    + more versions
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    Jacob Solawetz (2022). Aerial Maritime Drone Object Detection Dataset - tiled [Dataset]. https://public.roboflow.com/object-detection/aerial-maritime/9
    Explore at:
    zipAvailable download formats
    Dataset updated
    Sep 28, 2022
    Dataset authored and provided by
    Jacob Solawetz
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Variables measured
    Bounding Boxes of movable-objects
    Description

    Overview

    Drone Example

    This dataset contains 74 images of aerial maritime photographs taken with via a Mavic Air 2 drone and 1,151 bounding boxes, consisting of docks, boats, lifts, jetskis, and cars. This is a multi class problem. This is an aerial object detection dataset. This is a maritime object detection dataset.

    The drone was flown at 400 ft. No drones were harmed in the making of this dataset.

    This dataset was collected and annotated by the Roboflow team, released with MIT license.

    https://i.imgur.com/9ZYLQSO.jpg" alt="Image example">

    Use Cases

    • Identify number of boats on the water over a lake via quadcopter.
    • Boat object detection dataset
    • Aerial Object Detection proof of concept
    • Identify if boat lifts have been taken out via a drone
    • Identify cars with a UAV drone
    • Find which lakes are inhabited and to which degree.
    • Identify if visitors are visiting the lake house via quad copter.
    • Proof of concept for UAV imagery project
    • Proof of concept for maritime project
    • Etc.

    This dataset is a great starter dataset for building an aerial object detection model with your drone.

    Getting Started

    Fork or download this dataset and follow our How to train state of the art object detector YOLOv4 for more. Stay tuned for particular tutorials on how to teach your UAV drone how to see and comprable airplane imagery and airplane footage.

    Annotation Guide

    See here for how to use the CVAT annotation tool that was used to create this dataset.

    About Roboflow

    Roboflow makes managing, preprocessing, augmenting, and versioning datasets for computer vision seamless. :fa-spacer: Developers reduce 50% of their boilerplate code when using Roboflow's workflow, save training time, and increase model reproducibility. :fa-spacer:

    Roboflow Wordmark

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Joseph Nelson (2022). Uno Cards Dataset [Dataset]. https://universe.roboflow.com/joseph-nelson/uno-cards/model/3

Uno Cards Dataset

uno-cards

uno-cards-dataset

Explore at:
280 scholarly articles cite this dataset (View in Google Scholar)
zipAvailable download formats
Dataset updated
Jul 24, 2022
Dataset authored and provided by
Joseph Nelson
License

MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically

Variables measured
Card Types Bounding Boxes
Description

Overview

This dataset contains 8,992 images of Uno cards and 26,976 labeled examples on various textured backgrounds.

This dataset was collected, processed, and released by Roboflow user Adam Crawshaw, released with a modified MIT license: https://firstdonoharm.dev/

https://i.imgur.com/P8jIKjb.jpg" alt="Image example">

Use Cases

Adam used this dataset to create an auto-scoring Uno application:

Getting Started

Fork or download this dataset and follow our How to train state of the art object detector YOLOv4 for more.

Annotation Guide

See here for how to use the CVAT annotation tool.

About Roboflow

Roboflow makes managing, preprocessing, augmenting, and versioning datasets for computer vision seamless. :fa-spacer: Developers reduce 50% of their boilerplate code when using Roboflow's workflow, save training time, and increase model reproducibility. :fa-spacer:

Roboflow Wordmark

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