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Machine Categories

The ACID dataset contains 10 machine categories that represent the construction machines most commonly used in construction projects. A sample image is provided below for each machine category.

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Dataset Download

The ACID team has conducted comprehensive algorithm analysis on object detection, instance segmentation, and image captioning tasks on the ACID dataset. The task introduction, annotation examples, and algorithm results are compiled in below pages. We strongly suggest users browse these pages before downloading ACID. â€‹

Currently, the entire ACID dataset is available for the research community. Please click on the Dataset Download button below and fill the google form. In the google form, you can select which type of annotations (e.g., object detection, instance segmentation, and image captioning) do you need. We will send you the download link in one week once you submitted the google form. If you can't open the google form, please send an email to Dr. Bo Xiao (dr.boxiao@gmail.com) directly to make a request. To be noticed, ACID is currently only sharing for research purposes and no commercial usage is allowed. 

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Dataset Statistics

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The number of objects and number of images for each type of construction machines

Number of categories per image in the ACID dataset

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Number of objects per image in the ACID dataset

Distribution of object size in the ACID dataset

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Number of terms in ACID captioning annotation

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Top 20 n-grams (n= 2, 3, and 4) in ACID captioning annotation

Contribute to ACID

ACID needs support to develop a more comprehensive dataset for an innovative construction future. We would like to invite more contributors/researchers to this community and expand the ACID dataset.  

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ACID team is interested to provide a dataset management platform for the community. If you want to share your dataset via ACID website, we will be able to setup a specific webpage for you to demo your dataset and related findings to increase your exposure to the community. 

 

Please contact Dr. Bo Xiao (dr.boxiao@gmail.com) if you want to contribute to ACID, sharing your datasets via ACID, or discuss in-depth collaboration.

Copyrights

Website and Annotations

The annotations (i.e. object detection, instance segmentation, and image captioning) in this dataset along with the website are owned by Alberta Construction Image Dataset (ACID) Group and are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. No commercial usage is allowed.

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Images

The Alberta Construction Image Dataset includes some images extracted from the Internet (e.g., YouTube and Google Image) and some images captured by the ACID's research team. 

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