Object Detection is predominantly a vision task where we train a vision model, like YOLO, to predict the location of the object along with its class. But still it depends on the pre-trained classes, ...
FineTuning Gemma 3n for Medical VQA on ROCOv2
The release of Gemma 3n, Google's latest family of open nano models, made LLM edge deployment more accessible. Its unique architecture is engineered to address the persistent challenges ...
SigLIP 2: DeepMind’s Multilingual Vision-Language Model
SigLIP-2 represents a significant step forward in the development of multilingual vision-language encoders, bringing enhanced semantic understanding, localization, and dense feature extraction ...
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 ...
Introduction to GPT-4o Image Generation – Here’s What You Need to Know
OpenAI finally introduced GPT-4o image generation in ChatGPT and SORA. GPT-4o (omni) is a multimodal AI model; it can interact with different modalities like text, images, and audio, enabling far more ...
Depth Pro: The Sharp Monocular Metric Depth Estimation from Apple Explanation and Applications
Depth Pro, is an foundational zero shot metric depth estimation model from Apple ML, nails at creating high resolution, sharp monocular metric depth maps in less than a second. Depth Pro achieves SOTA ...
