refactor(models): move FastSAM from object_detection to instance_segmentation

FastSAM is consumed via useInstanceSegmentation, so its accessor belongs
in models.instance_segmentation. Move fastsam_s/fastsam_x and update
demo apps and docs accordingly.

Author: msluszniak

apps/computer-vision/app/instance_segmentation/index.tsx

@@ -23,7 +23,6 @@ import ImageWithMasks, {
 } from '../../components/ImageWithMasks';
 import { StatsBar } from '../../components/StatsBar';
 const instanceSegmentation = models.instance_segmentation;
-const objectDetection = models.object_detection;
 
 const MODELS: ModelOption<InstanceSegmentationModelSources>[] = [
   { label: 'Yolo26N', value: instanceSegmentation.yolo26n() },
@@ -35,8 +34,8 @@ const MODELS: ModelOption<InstanceSegmentationModelSources>[] = [
     label: 'RF-DeTR Nano',
     value: instanceSegmentation.rf_detr_nano(),
   },
-  { label: 'FastSAM-S', value: objectDetection.fastsam_s() },
-  { label: 'FastSAM-X', value: objectDetection.fastsam_x() },
+  { label: 'FastSAM-S', value: instanceSegmentation.fastsam_s() },
+  { label: 'FastSAM-X', value: instanceSegmentation.fastsam_x() },
 ];
 
 export default function InstanceSegmentationScreen() {

apps/computer-vision/app/segment_anything/index.tsx

@@ -45,20 +45,22 @@ import ImageWithMasks, {
 } from '../../components/ImageWithMasks';
 import { getImage } from '../../utils';
 import ColorPalette from '../../colors';
-const objectDetection = models.object_detection;
+const instanceSegmentation = models.instance_segmentation;
 
 type PromptMode = 'point' | 'box' | 'text';
 
 const MODELS: ModelOption<InstanceSegmentationModelSources>[] = [
-  { label: 'FastSAM-S', value: objectDetection.fastsam_s() },
-  { label: 'FastSAM-X', value: objectDetection.fastsam_x() },
+  { label: 'FastSAM-S', value: instanceSegmentation.fastsam_s() },
+  { label: 'FastSAM-X', value: instanceSegmentation.fastsam_x() },
 ];
 
 export default function SegmentAnythingScreen() {
   const { setGlobalGenerating } = useContext(GeneratingContext);
 
   const [selectedModel, setSelectedModel] =
-    useState<InstanceSegmentationModelSources>(objectDetection.fastsam_s());
+    useState<InstanceSegmentationModelSources>(
+      instanceSegmentation.fastsam_s()
+    );
   const [mode, setMode] = useState<PromptMode>('point');
   const [inferenceTime, setInferenceTime] = useState<number | null>(null);
 

apps/computer-vision/components/vision_camera/tasks/InstanceSegmentationTask.tsx

@@ -18,7 +18,6 @@ import {
   DisplayInstance,
 } from '../../../components/ImageWithMasks';
 const instanceSegmentation = models.instance_segmentation;
-const objectDetection = models.object_detection;
 
 type InstSegModelId =
   | 'instanceSegmentationYolo26n'
@@ -49,11 +48,11 @@ export default function InstanceSegmentationTask({
     preventLoad: activeModel !== 'instanceSegmentationRfdetr',
   });
   const fastsamS = useInstanceSegmentation({
-    model: objectDetection.fastsam_s(),
+    model: instanceSegmentation.fastsam_s(),
     preventLoad: activeModel !== 'instanceSegmentationFastsamS',
   });
   const fastsamX = useInstanceSegmentation({
-    model: objectDetection.fastsam_x(),
+    model: instanceSegmentation.fastsam_x(),
     preventLoad: activeModel !== 'instanceSegmentationFastsamX',
   });
 

docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md

@@ -155,7 +155,7 @@ import {
   selectByText,
 } from 'react-native-executorch';
 const model = useInstanceSegmentation({
-  model: models.object_detection.fastsam_x(),
+  model: models.instance_segmentation.fastsam_x(),
 });
 
 try {

docs/docs/05-utilities/model-registry.md

@@ -25,10 +25,10 @@ Each leaf is a **function**. Call it (optionally with `{ quant, backend }`) to g
 | `llm`                   | `llama3_2_3b`, `qwen3_4b`, `smollm2_1_1_7b`, `phi_4_mini_4b`, `bielik_v3_0_1_5b`, `lfm2_5_1_2b_instruct`, `lfm2_5_vl_1_6b`, `lfm2_5_vl_450m`, …                                                                                                                                             |
 | `classification`        | `efficientnet_v2_s`                                                                                                                                                                                                                                                                         |
 | `privacy_filter`        | `openai`, `nemotron`                                                                                                                                                                                                                                                                        |
-| `object_detection`      | `ssdlite_320_mobilenet_v3_large`, `yolo26n` … `yolo26x`, `rf_detr_nano`, `fastsam_s`, `fastsam_x`                                                                                                                                                                                           |
+| `object_detection`      | `ssdlite_320_mobilenet_v3_large`, `yolo26n` … `yolo26x`, `rf_detr_nano`                                                                                                                                                                                                                     |
 | `pose_estimation`       | `yolo26n`                                                                                                                                                                                                                                                                                   |
 | `semantic_segmentation` | `deeplab_v3_resnet50`, `lraspp_mobilenet_v3_large`, `fcn_resnet101`, `selfie_segmentation`, …                                                                                                                                                                                               |
-| `instance_segmentation` | `yolo26n` … `yolo26x`, `rf_detr_nano`                                                                                                                                                                                                                                                       |
+| `instance_segmentation` | `yolo26n` … `yolo26x`, `rf_detr_nano`, `fastsam_s`, `fastsam_x`                                                                                                                                                                                                                             |
 | `style_transfer`        | `candy`, `mosaic`, `rain_princess`, `udnie`                                                                                                                                                                                                                                                 |
 | `speech_to_text`        | `whisper_tiny_en`, `whisper_base`, `whisper_small_en`, …                                                                                                                                                                                                                                    |
 | `text_to_speech`        | nested by model family + language: `kokoro.en_us.{heart, river, sarah, adam, …}`, `kokoro.en_gb.{emma, daniel}`, `kokoro.fr.siwis`, `kokoro.es.{dora, alex}`, `kokoro.it.{sara, nicola}`, `kokoro.pt.{dora, santa}`, `kokoro.hi.{alpha, omega, psi}`, `kokoro.pl.mateusz`, `kokoro.de.anna` |

packages/react-native-executorch/src/constants/modelRegistry.ts

@@ -506,8 +506,6 @@ export const models = {
     yolo26m: base(M.YOLO26M),
     yolo26l: base(M.YOLO26L),
     yolo26x: base(M.YOLO26X),
-    fastsam_s: variant(FASTSAM_S_VARIANTS),
-    fastsam_x: variant(FASTSAM_X_VARIANTS),
   },
   pose_estimation: {
     yolo26n: base(M.YOLO26N_POSE),
@@ -540,6 +538,8 @@ export const models = {
     yolo26l: base(M.YOLO26L_SEG),
     yolo26x: base(M.YOLO26X_SEG),
     rf_detr_nano: variant(RF_DETR_NANO_SEG_VARIANTS),
+    fastsam_s: variant(FASTSAM_S_VARIANTS),
+    fastsam_x: variant(FASTSAM_X_VARIANTS),
   },
   style_transfer: {
     candy: variant(STYLE_TRANSFER_CANDY_VARIANTS),