Add COCO model for RKNN

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;
     }