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Francesco/apex-videogame

The apex‑videogame dataset is a dataset for object detection tasks, containing images and their object annotations. Each data point includes an image ID, the image itself, its width and height, and annotation information for objects such as object ID, area, bounding box, and category. The dataset language is English, annotated by Roboflow users, and its size ranges between 1K and 10K.

Updated 3/30/2023
hugging_face

Description

Dataset Overview

Dataset Name

  • apex‑videogame

Dataset Features

  • image_id: integer type (int64)
  • image: image type
  • width: integer type (int32)
  • height: integer type (int32)
  • objects: sequence type, containing the following sub‑features:
    • id: integer type (int64)
    • area: integer type (int64)
    • bbox: sequence type, length 4, floating‑point type (float32)
    • category: category label, with the following names:
      • 0: apex‑game
      • 1: avatar
      • 2: object

Dataset Structure

  • Data Instance: each data point includes an image and its object annotations.
  • Data Fields:
    • image: image object
    • width: image width
    • height: image height
    • objects: metadata of objects such as id, area, bounding box, and category.

Dataset Usage

  • Task Type: object detection

Dataset Scale

  • Size Category: 1K < n < 10K

Dataset Source

  • Source: original dataset

Dataset Language

  • Language: English

Dataset License

  • License: cc

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Topics

Video Games
Object Detection

Source

Organization: hugging_face

Created: Unknown

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