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+Collections:
+- Name: C3D
+  README: configs/recognition/c3d/README.md
+  Paper:
+    URL: https://arxiv.org/abs/1412.0767
+    Title: Learning Spatiotemporal Features with 3D Convolutional Networks
+Models:
+- Config: configs/recognition/c3d/c3d_sports1m_16x1x1_45e_ucf101_rgb.py
+  In Collection: C3D
+  Metadata:
+    Architecture: c3d
+    Batch Size: 30
+    Epochs: 45
+    FLOPs: 38615475200
+    Parameters: 78409573
+    Pretrained: sports1m
+    Resolution: 128x171
+    Training Data: UCF101
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: c3d_sports1m_16x1x1_45e_ucf101_rgb
+  Results:
+  - Dataset: UCF101
+    Metrics:
+      Top 1 Accuracy: 83.27
+      Top 5 Accuracy: 95.9
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/c3d/c3d_sports1m_16x1x1_45e_ucf101_rgb/20201021_140429.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/c3d/c3d_sports1m_16x1x1_45e_ucf101_rgb/20201021_140429.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/c3d/c3d_sports1m_16x1x1_45e_ucf101_rgb/c3d_sports1m_16x1x1_45e_ucf101_rgb_20201021-26655025.pth