As Machine Learning and AI technologies continue to advance, the need for efficient and secure methods to store, share, and deploy trained models becomes increasingly critical. Model weights file ...
DINOv2 by Meta: A Self-Supervised foundational vision model
The field of computer vision is fueled by the remarkable progress in self-supervised learning. At the forefront of this revolution is DINOv2, a cutting-edge self-supervised vision transformer ...
FineTuning SAM2 for Leaf Disease Segmentation – Step-by-Step Tutorial
The agricultural and food industry relies heavily on the crop lifecycle. But did you know leaf diseases are a significant threat to agriculture worldwide? They reduce crop yields and harm food ...
Image Captioning using ResNet and LSTM
Imagine you’re watching a travel vlog on YouTube, and you turn on the image captions feature. As the video shows a stunning view of Mount Fuji, a caption appears: “Snow-capped Mount Fuji at sunrise ...
DETR: Overview and Inference
In the groundbreaking paper “Attention is all you need”, Transformers architecture was introduced for sequence to sequence tasks in NLP. Models like Bert, GPT were built on the top of Transformers ...
Sapiens: Foundation for Human Vision Models by Meta
Sapiens, a family of foundational Human Vision Models by Rawal et al., from Meta, achieves state-of-the-art results for human centric tasks like 2D pose estimation, body-part segmentation, depth ...