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README.md

@@ -1,5 +1,5 @@
 ---
-license: mit
+license: agpl-3.0
 library_name: onnx
 pipeline_tag: object-detection
 tags:
@@ -7,7 +7,7 @@ tags:
   - polyhedral-dice
   - ttrpg
   - tabletop
-  - yolov8
+  - yolox
   - onnx
 datasets:
   - G-G-Games/diecamera-dice
@@ -117,5 +117,14 @@ took a value model from 97% on web images to 17.5% on the real rig.
 
 ## License
 
-MIT, matching the [dieCamera](https://github.com/eschatus/diecamera) application. The
-training data is CC BY 4.0 and published separately.
+**AGPL-3.0.** Use, modify, or redistribute these weights — including as part of a hosted
+or network-accessible service — under AGPL-3.0, which requires releasing corresponding
+source for your derivative under the same terms. A separate commercial license, without
+the AGPL's copyleft/source-disclosure obligations, is available from G-G-Games for closed
+commercial use; contact us for terms. The [dieCamera](https://github.com/eschatus/diecamera)
+application itself is licensed separately (see its own repo). The training data is
+CC BY-SA 4.0 and published separately.
+
+*(Provisional — this replaces an earlier MIT license on this card. Not yet cleared by
+counsel; do not rely on the enforceability of the commercial-license carve-out until a
+lawyer has reviewed it.)*