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MILE

Image Feature Extraction

Model card Files Files and versions Community

popaaln commited on Nov 18, 2024

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@@ -15,8 +15,8 @@ Instructions for how to train and evaluate a MILE model, as well as the necessar
 These models have been trained on [Amazon-Berkeley-Objects](https://amazon-berkeley-objects.s3.amazonaws.com/index.html) and [iNaturalist](https://github.com/visipedia/inat_comp/tree/master/2017) and are intended to demonstrate the power of the object-level embeddings w.r.t. the object /category retrieval task. For other domains or tasks, it should be further fine-tuned on relevant data.
- * ABO - `blrp-dinov2-vitl14-reg-lora0-fw-5e-06-mt09996-bs3-800_ckpt0390.pth`
- * iNaturalist - `mile-vitl14-reg-LRx8-g48x8-100M-mt0996-bs3-s250000-ep800-1_ckpt0361.pth`
 ## Citation

 These models have been trained on [Amazon-Berkeley-Objects](https://amazon-berkeley-objects.s3.amazonaws.com/index.html) and [iNaturalist](https://github.com/visipedia/inat_comp/tree/master/2017) and are intended to demonstrate the power of the object-level embeddings w.r.t. the object /category retrieval task. For other domains or tasks, it should be further fine-tuned on relevant data.
+ * [ABO](https://huggingface.co/AmazonScience/MILE/resolve/main/blrp-dinov2-vitl14-reg-lora0-fw-5e-06-mt09996-bs3-800_ckpt0390.pth)
+ * [iNaturalist](https://huggingface.co/AmazonScience/MILE/resolve/main/mile-vitl14-reg-LRx8-g48x8-100M-mt0996-bs3-s250000-ep800-1_ckpt0361.pth)
 ## Citation