PR Pathfinder Recon. Images Annotated IL-2 Recon Photos
Closing of the Ruhr Pocket collection cover

Curated

Closing of the Ruhr Pocket

Annotated IL-2 Recon Photos

Overview

Curated · Closing of the Ruhr Pocket

Curated Combat Box reconnaissance collection for Closing of the Ruhr Pocket.

1published image files

Recon imagery status

Last updated 9 August 2026 at 14:04 BST Latest section: All Targets — B&W Latest file: test image.png

Use this recon collection

Recon access links for Closing of the Ruhr Pocket

Displayed Mission links stay on this mission. Smart Links automatically follow the Combat Box mission currently in play.

Mission map

Select a reconnaissance target

Closing of the Ruhr Pocket mission map

Interactive target links can be added later using map.json.

Curated mission recon

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Flying Allied? Choose Axis Targets.   Flying Axis? Choose Allied Targets.

All Targets

Every available target image for this mission.

Collection contents

Downloads

No downloadable package has been published for this mission yet.

How the archive is made

Methodology

Each reconnaissance photograph is produced from a modified IL-2 mission adapted for automated aerial photography. A Python processing pipeline captures and combines four image tiles into a high-resolution composite, reads the mission file and workbook reference data, and then uses these to orientate and prioritise target groupings before annotation. A label with the target name, its elevation, target type and grid is placed in the top left. At the bottom left, a scale bar is calculated. At the bottom right, a north compass arrow shows the orientation, and below that a strip of information shows the altitude from which the image was captured, the heading the aircraft was taking (flying bottom to top), the grid and other details. Annotated target areas are set at a maximum of six (server owners may request fewer) and are calculated based on their spatial setting and collective supply importance. A switchable "Show AA" option allows some images to contain AA positions, with some hidden depending on how difficult the server owners wish to make the target.

About / How it works

In development

Image-based intelligence

A future computer-vision pipeline is being developed in tandem using a custom YOLO model to identify target groups directly from previously captured images, removing the need for the .MISSION files and emulating a real-world reconnaissance process. This is a stretch target, so it may not be fully enacted.

Corrections and observations

Feedback welcome

Historical corrections, target-identification feedback and comments on usability are welcome.