Add COCO model for RKNN (#2026)

## Description

This adds the RKNN model trained on the COCO dataset as one of the
models shipped with PV. This model is fairly general, and has been
trained to identify a number of objects, including people, animals,
cars, and more. This model is meant for teams to test object detection,
particularly for teams who might not have access to the game elements
that our other models are trained on.

## Meta

Merge checklist:
- [x] Pull Request title is [short, imperative
summary](https://cbea.ms/git-commit/) of proposed changes
- [x] The description documents the _what_ and _why_
- [x] If this PR changes behavior or adds a feature, user documentation
is updated
- [ ] If this PR touches photon-serde, all messages have been
regenerated and hashes have not changed unexpectedly
- [ ] If this PR touches configuration, this is backwards compatible
with settings back to v2024.3.1
- [ ] If this PR touches pipeline settings or anything related to data
exchange, the frontend typing is updated
- [ ] If this PR addresses a bug, a regression test for it is added

Author: samfreund

docs/source/docs/objectDetection/about-object-detection.md

@@ -4,7 +4,7 @@
 
 PhotonVision supports object detection using neural network accelerator hardware built into Orange Pi 5/5+ coprocessors. Please note that the Orange Pi 5/5+ are the only coprocessors that are currently supported. The Neural Processing Unit, or NPU, is [used by PhotonVision](https://github.com/PhotonVision/rknn_jni/tree/main) to massively accelerate certain math operations like those needed for running ML-based object detection.
 
-For the 2025 season, PhotonVision ships with a pretrained ALGAE model. A model to detect coral is not currently stable, and interested teams should ask in the Photonvision discord.
+PhotonVision currently ships with a model trained on the [COCO dataset](https://cocodataset.org/). This model is meant to be used for testing and other miscellaneous purposes. It is not meant to be used in competition. For the 2025 post-season, PhotonVision also ships with a pretrained ALGAE model. A model to detect coral is available in the PhotonVision discord, but will not be distributed with PhotonVision.
 
 ## Tracking Objects
 

photon-core/src/main/java/org/photonvision/common/configuration/NeuralNetworkModelManager.java

@@ -71,6 +71,97 @@ private NeuralNetworkPropertyManager getShippedProperties(File modelsDirectory)
                         Family.RKNN,
                         Version.YOLOV8));
 
+        nnProps.addModelProperties(
+                new ModelProperties(
+                        Path.of(modelsDirectory.getAbsolutePath(), "yolov8nCOCO.rknn"),
+                        "COCO",
+                        new LinkedList<String>(
+                                List.of(
+                                        "person",
+                                        "bicycle",
+                                        "car",
+                                        "motorcycle",
+                                        "airplane",
+                                        "bus",
+                                        "train",
+                                        "truck",
+                                        "boat",
+                                        "traffic light",
+                                        "fire hydrant",
+                                        "stop sign",
+                                        "parking meter",
+                                        "bench",
+                                        "bird",
+                                        "cat",
+                                        "dog",
+                                        "horse",
+                                        "sheep",
+                                        "cow",
+                                        "elephant",
+                                        "bear",
+                                        "zebra",
+                                        "giraffe",
+                                        "backpack",
+                                        "umbrella",
+                                        "handbag",
+                                        "tie",
+                                        "suitcase",
+                                        "frisbee",
+                                        "skis",
+                                        "snowboard",
+                                        "sports ball",
+                                        "kite",
+                                        "baseball bat",
+                                        "baseball glove",
+                                        "skateboard",
+                                        "surfboard",
+                                        "tennis racket",
+                                        "bottle",
+                                        "wine glass",
+                                        "cup",
+                                        "fork",
+                                        "knife",
+                                        "spoon",
+                                        "bowl",
+                                        "banana",
+                                        "apple",
+                                        "sandwich",
+                                        "orange",
+                                        "broccoli",
+                                        "carrot",
+                                        "hot dog",
+                                        "pizza",
+                                        "donut",
+                                        "cake",
+                                        "chair",
+                                        "couch",
+                                        "potted plant",
+                                        "bed",
+                                        "dining table",
+                                        "toilet",
+                                        "tv",
+                                        "laptop",
+                                        "mouse",
+                                        "remote",
+                                        "keyboard",
+                                        "cell phone",
+                                        "microwave",
+                                        "oven",
+                                        "toaster",
+                                        "sink",
+                                        "refrigerator",
+                                        "book",
+                                        "clock",
+                                        "vase",
+                                        "scissors",
+                                        "teddy bear",
+                                        "hair drier",
+                                        "toothbrush")),
+                        640,
+                        640,
+                        Family.RKNN,
+                        Version.YOLOV8));
+
         return nnProps;
     }