ImgNetMaker converts your CSV and/or image folder into network-ready data for visualising image networks with Gephi Lite. It downloads the images when a CSV is provided, pairing each image with its metadata, and adding two fields: a clean image filename and a Base64 data URL.
Yep β zoom through 10,000-images in a snap. π©π»βπ»β¨β£οΈ Heads-up: performance depends on your browserβs available memory (RAM).
CSV with at least one column containing an image URL (e.g. image_url
).
Ensure your file contains additional metadata columns (e.g., id
,
author
, date
, β¦)
inm_status
β status of image download.inm_filename
β clean filename used as the image key.inm_imgdataurl
β the embedded image (data URL).
Zip with /images/
folder containing the downloaded images
(mirrors inm_filename
)
Provide an image folder whose filenames match column values in your dataset
(e.g., image_filename
in a CSV, JSON or other data file).
inm_status
β status of image conversion,inm_filename
β your input filename, inm_imgdataurl
β the embedded image (data URL).
inm_filename
.Build the bipartite network with Table2Net.
inm_imgdataurl
as an attribute on the image nodes (along with any
other metadata).
Open in Gephi Lite
.gexf
file into Gephi Lite.Display images
inm_imgdataurl
column (in Gephi Lite it may
appear under some name such as attr_1_1).