diff --git a/community/README.md b/community/README.md
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--- a/community/README.md
+++ b/community/README.md
@@ -19,7 +19,7 @@ This repository provides a curated list of the GitHub repositories with machine
| [ResNet 101](https://github.com/IntelAI/models/tree/master/benchmarks/image_recognition/tensorflow/resnet101) | [Deep Residual Learning for Image Recognition](https://arxiv.org/pdf/1512.03385) | • Int8 Inference
• FP32 Inference | [Intel](https://github.com/IntelAI) |
| [ResNet 50](https://github.com/IntelAI/models/tree/master/benchmarks/image_recognition/tensorflow/resnet50) | [Deep Residual Learning for Image Recognition](https://arxiv.org/pdf/1512.03385) | • Int8 Inference
• FP32 Inference | [Intel](https://github.com/IntelAI) |
| [ResNet 50v1.5](https://github.com/IntelAI/models/tree/master/benchmarks/image_recognition/tensorflow/resnet50v1_5) | [Deep Residual Learning for Image Recognition](https://arxiv.org/pdf/1512.03385) | • Int8 Inference
• FP32 Inference
• FP32 Training | [Intel](https://github.com/IntelAI) |
-| [EfficientNet](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Classification/ConvNets/efficientnet) | [EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks](https://arxiv.org/pdf/1905.11946.pdf) | • Automatic mixed precision
• Horovod Multi-GPU training (NCCL)
• Multi-node training on a Pyxis/Enroot Slurm cluster
• XLA | [NVIDIA](https://github.com/NVIDIA) |
+| EfficientNet [v1](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Classification/ConvNets/efficientnet_v1) [v2](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Classification/ConvNets/efficientnet_v2) | [EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks](https://arxiv.org/pdf/1905.11946.pdf) | • Automatic mixed precision
• Horovod Multi-GPU training (NCCL)
• Multi-node training on a Pyxis/Enroot Slurm cluster
• XLA | [NVIDIA](https://github.com/NVIDIA) |
### Object Detection