diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml
index 4fd397febb..700d9efd5c 100644
--- a/.github/workflows/ci.yaml
+++ b/.github/workflows/ci.yaml
@@ -112,17 +112,17 @@ jobs:
         shell: python
         run: |
           from ultralytics.yolo.utils.benchmarks import benchmark
-          benchmark(model='${{ matrix.model }}.pt', imgsz=160, half=False, hard_fail=0.20)
+          benchmark(model='${{ matrix.model }}.pt', imgsz=160, half=False, hard_fail=0.26)
       - name: Benchmark SegmentationModel
         shell: python
         run: |
           from ultralytics.yolo.utils.benchmarks import benchmark
-          benchmark(model='${{ matrix.model }}-seg.pt', imgsz=160, half=False, hard_fail=0.14)
+          benchmark(model='${{ matrix.model }}-seg.pt', imgsz=160, half=False, hard_fail=0.30)
       - name: Benchmark ClassificationModel
         shell: python
         run: |
           from ultralytics.yolo.utils.benchmarks import benchmark
-          benchmark(model='${{ matrix.model }}-cls.pt', imgsz=160, half=False, hard_fail=0.35)
+          benchmark(model='${{ matrix.model }}-cls.pt', imgsz=160, half=False, hard_fail=0.36)
       - name: Benchmark PoseModel
         shell: python
         run: |
diff --git a/ultralytics/yolo/cfg/__init__.py b/ultralytics/yolo/cfg/__init__.py
index c3d028550a..5908fa1dbc 100644
--- a/ultralytics/yolo/cfg/__init__.py
+++ b/ultralytics/yolo/cfg/__init__.py
@@ -16,11 +16,7 @@ from ultralytics.yolo.utils import (DEFAULT_CFG, DEFAULT_CFG_DICT, DEFAULT_CFG_P
 # Define valid tasks and modes
 MODES = 'train', 'val', 'predict', 'export', 'track', 'benchmark'
 TASKS = 'detect', 'segment', 'classify', 'pose'
-TASK2DATA = {
-    'detect': 'coco128.yaml',
-    'segment': 'coco128-seg.yaml',
-    'classify': 'imagenet100',
-    'pose': 'coco8-pose.yaml'}
+TASK2DATA = {'detect': 'coco8.yaml', 'segment': 'coco8-seg.yaml', 'classify': 'imagenet100', 'pose': 'coco8-pose.yaml'}
 TASK2MODEL = {
     'detect': 'yolov8n.pt',
     'segment': 'yolov8n-seg.pt',