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Dataset assetOpen Source CommunityObject DetectionVideo Games
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.
Source
hugging_face
Created
Nov 28, 2025
Updated
Mar 30, 2023
Signals
114 views
Availability
Linked source ready
Overview
Dataset description and usage context
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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