--- a
+++ b/configs/fastscnn/fastscnn.yml
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+Collections:
+- Name: fastscnn
+  Metadata:
+    Training Data:
+    - Cityscapes
+  Paper:
+    URL: https://arxiv.org/abs/1902.04502
+    Title: Fast-SCNN for Semantic Segmentation
+  README: configs/fastscnn/README.md
+  Code:
+    URL: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/backbones/fast_scnn.py#L272
+    Version: v0.17.0
+Models:
+- Name: fast_scnn_lr0.12_8x4_160k_cityscapes
+  In Collection: fastscnn
+  Metadata:
+    backbone: Fast-SCNN
+    crop size: (512,1024)
+    lr schd: 160000
+    inference time (ms/im):
+    - value: 17.71
+      hardware: V100
+      backend: PyTorch
+      batch size: 1
+      mode: FP32
+      resolution: (512,1024)
+    Training Memory (GB): 3.3
+  Results:
+  - Task: Semantic Segmentation
+    Dataset: Cityscapes
+    Metrics:
+      mIoU: 70.96
+      mIoU(ms+flip): 72.65
+  Config: configs/fastscnn/fast_scnn_lr0.12_8x4_160k_cityscapes.py
+  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/fast_scnn/fast_scnn_lr0.12_8x4_160k_cityscapes/fast_scnn_lr0.12_8x4_160k_cityscapes_20210630_164853-0cec9937.pth