Add models/obb/yolo26l-obb/rk3576/int8

.gitattributes

@@ -123,3 +123,4 @@ models/segment/yolo26l-seg/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs
 models/segment/yolo26l-seg/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
 models/pose/yolo26l-pose/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
 models/obb/yolo26m-obb/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/obb/yolo26l-obb/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text

models/obb/yolo26l-obb/rk3576/int8/metadata.yaml

@@ -0,0 +1,50 @@
+description: Ultralytics YOLO26l-obb model trained on /home/mason/code/ultralytics/ultralytics/cfg/datasets/DOTAv1.yaml
+author: Ultralytics
+date: '2026-11-07T01:48:41.216355+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: OBB26
+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: rk3576
+coordinates: pixels
+preprocess: letterbox
+fp16_decode_tensors: 36

models/obb/yolo26l-obb/rk3576/int8/model.rknn

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e657efcb780245d8b3e3c91910cfe46f32323ec7e69ba915a49c393178f67ca6
+size 36692675