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@@ -27,4 +27,4 @@ This repository contains the **ImageNet-100 SimCLR ResNet-18 checkpoint** traine
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  The model was pretrained using **SimCLR with a ResNet-18 backbone** and served as one of the non-egocentric reference models in the associated study. It was used alongside models pretrained on ImageNet-1K and STL-10 to provide comparison points for evaluating representations learned from naturalistic egocentric visual experience.
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- Training was implemented using the **Lightly** self-supervised learning framework. The training images were obtained from the [`clane9/imagenet-100`](https://huggingface.co/datasets/clane9/imagenet-100) dataset on Hugging Face.
 
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  The model was pretrained using **SimCLR with a ResNet-18 backbone** and served as one of the non-egocentric reference models in the associated study. It was used alongside models pretrained on ImageNet-1K and STL-10 to provide comparison points for evaluating representations learned from naturalistic egocentric visual experience.
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+ Training was implemented using the [**Lightly** self-supervised learning framework](https://docs.lightly.ai/self-supervised-learning/index.html). The training images were obtained from the [`clane9/imagenet-100`](https://huggingface.co/datasets/clane9/imagenet-100) dataset on Hugging Face.