Author
Akruti Acharya
Akruti is a data scientist and technical content writer with a M.Sc. in Machine Learning & Artificial Intelligence from the University of Birmingham. She enjoys exploring new things and applying her technical and analytical skills to solve challenging problems and sharing her knowledge and experience with her readers.
All blogs by Akruti Acharya
How to Choose the Right Data for Your Computer Vision Project
12 m
Tracking Everything Everywhere All at Once | Explained
Meta-Transformer: Framework for Multimodal Learning
MEGABYTE, Meta AI’s New Revolutionary Model Architecture, Explained
How To Detect Data Drift on Datasets
Meta AI's CoTracker: It is Better to Track Together for Video Motion Prediction
Dual-Stream Diffusion Net for Text-to-Video Generation
Top 10 Open Source Datasets for Machine Learning
Slicing Aided Hyper Inference (SAHI) for Small Object Detection | Explained
How to Build Your First Machine Learning Model
14 m
Exploring the RarePlanes Dataset
Object Classification with Caltech 101
7 m
6 Steps to Build Better Computer Vision Models
12 m
CVPR 2024: Top Artificial Intelligence and Computer Vision Papers Accepted
NVLM 1.0: NVIDIA's Open-Source Multimodal AI Model
Automate Text Labeling for Your Image Dataset: A Step-by-Step Guide
The Complete Guide to Object Tracking [Tutorial]
15 m
Fine-Tuning VLM: Enhancing Geo-Spatial Embeddings
How SAM 2 and Encord Transforms Video Annotation
Visual Foundation Models vs. State-of-the-Art: Exploring Zero-Shot Object Segmentation with Grounding-DINO and SAM
The Complete Guide to Image Annotation for Computer Vision
7 m
FastViT: Hybrid Vision Transformer with Structural Reparameterization
Text2Cinemagraph: Synthesizing Artistic Cinemagraphs
Med-PaLM: Google Research’s Medical LLM | Explained
TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement | Explained
OpenAI o1: A New Era of AI Reasoning
Llama 2: Meta AI's Latest Open Source Large Language Model
What is Vector Similarity Search?
5 m
Apple’s MM1.5 Explained
Vision Fine-Tuning with OpenAI's GPT-4: A Step-by-Step Guide
5 m
Improving Training Data with Outlier Detection
YOLOv9: SOTA Object Detection Model Explained
8 m
What to Expect From OpenAI’s GPT-Vision vs. Google’s Gemini
Gemini Robotics: Advancing Physical AI with Vision-Language-Action Models
Ray-Ban Meta Smart Glasses are Getting an Upgrade with Multimodal AI
5 m
MiniGPT-v2 Explained
Florence-2: Microsoft's New Foundation Model Explained
How Poor Data is Killing Your Models and How to Fix It
Segment Anything Model 2 (SAM 2) & SA-V Dataset from Meta AI
How to use SAM to Automate Data Labeling in Encord
8 m
Intralogistics: Optimizing Internal Supply Chains with Automation
Data Classification 101: Structuring the Building Blocks of Machine Learning
9 Ways to Balance Your Computer Vision Dataset
15 m
How to Use GPT-4o for Model Development with Encord
Improving Data Quality Using End-to-End Data Pre-Processing Techniques in Encord Active
10 m
DINOv3 Explained: Scaling Self-Supervised Vision Transformers
Diffusion Transformer (DiT) Models: A Beginner’s Guide
8 m
What is Data Labeling? The Ultimate Guide [2024]
8 m
Google Launches Gemini, Its New Multimodal AI Model
Comparative Analysis of YOLOv9 and YOLOv8 Using Custom Dataset on Encord Active
8 m
The Python Developer's Toolkit for PDF Processing
Introduction to Vision Transformers (ViT)
OpenAI Releases New Text-to-Video Model, Sora
3 m
Meta’s V-JEPA: Video Joint Embedding Predictive Architecture Explained
8 m
Meta AI’s I-JEPA, Image-based Joint-Embedding Predictive Architecture, Explained
10 m
Exploring GPT-4 Vision: First Impressions
Qwen-VL and Qwen-VL-Chat: Introduction to Alibaba’s AI Models
8 m
LLaVA, LLaVA-1.5, and LLaVA-NeXT(1.6) Explained
Meta’s Llama 3.1 Explained
GPT-4 Vision vs LLaVA
Instance Segmentation in Computer Vision: A Comprehensive Guide
7 m
Exploring Vision-based Robotic Arm Control with 6 Degrees of Freedom
8 m
Mistral Large Explained
5 m
Overfitting in Machine Learning: How to Detect and Avoid Overfitting in Computer Vision?
8 m
Phi-3: Microsoft’s Mini Language Model is Capable of Running on Your Phone
8 m
MM1: Apple’s Multimodal Large Language Models (MLLMs)
10 m
Stable Diffusion 3: Multimodal Diffusion Transformer Model Explained
10 m
YOLO World Zero-shot Object Detection Model Explained
10 m
Claude 3 | AI Model Suite: Introducing Opus, Sonnet, and Haiku
10 m
Apple Vision PRO - Extending Reality to Radiology
8 m
Mistral 7B: Mistral AI's Open Source Model