Add models/obb/yolov8l-obb/rk3588/int8

.gitattributes

@@ -88,3 +88,4 @@ models/segment/yolov8m-seg/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs
 models/classify/yolov8l-cls/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
 models/classify/yolov8l-cls/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
 models/detect/yolov8l/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/obb/yolov8l-obb/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text

models/obb/yolov8l-obb/rk3588/int8/metadata.yaml

@@ -0,0 +1,50 @@
+description: Ultralytics YOLOv8l-obb model trained on runs/DOTAv1.0-ms.yaml
+author: Ultralytics
+date: '2026-11-07T01:42:46.551967+00:00'
+version: 8.4.184
+license: AGPL-3.0 License (https://ultralytics.com/license)
+docs: https://docs.ultralytics.com
+stride: 32
+task: obb
+head: OBB
+batch: 1
+imgsz:
+- 640
+- 640
+names:
+  0: plane
+  1: ship
+  2: storage tank
+  3: baseball diamond
+  4: tennis court
+  5: basketball court
+  6: ground track field
+  7: harbor
+  8: bridge
+  9: large vehicle
+  10: small vehicle
+  11: helicopter
+  12: roundabout
+  13: soccer ball field
+  14: swimming pool
+args:
+  data: null
+  batch: 1
+  fraction: 1.0
+  quantize: null
+  nms: null
+  dynamic: false
+  simplify: true
+  opset: 19
+  format: rknn
+  precision: int8
+channels: 3
+end2end: false
+precision: int8
+head_precision: int8
+decode_precision: fp16
+calibration_images: 128
+target_platform: rk3588
+coordinates: pixels
+preprocess: letterbox
+fp16_decode_tensors: 36

models/obb/yolov8l-obb/rk3588/int8/model.rknn

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:08eb5b48999ff4dd4d9cdf7a03e595231efe0533904c4fd8b4c7d0e69b7d1522
+size 47765123