Author

Stephen Oladele

Stephen Oladele is a Developer Advocate and an MLOps Technical Content Creator at Encord. He has significant experience building and managing data communities, and you will find him learning and discussing machine learning topics across Discord, Slack and Twitter.

Stephen Oladele

All blogs by Stephen Oladele

sampleImage_hugging-face-image-quality-evaluation
Exploring the Quality of Hugging Face Image Datasets with Encord Active

10 m

sampleImage_semantic-image-search-application
How to Use Semantic Search to Curate Images of Products with Encord Active

10 m

sampleImage_error-analysis-object-detection-models
How to Analyze Failure Modes of Object Detection Models for Debugging

10 m

sampleImage_evaluate-foundation-model-clip-with-encord-active-part1
Part 1: Evaluating Foundation Models (CLIP) using Encord Active
sampleImage_intelligent-character-recognition-icr
Intelligent Character Recognition: Process, Tools and Applications

8 m

sampleImage_cvat-alternatives
Top 12 CVAT Alternatives [2025]

8 m

sampleImage_model-validation-tools
9 Best Generative AI Model Validation Tools for Computer Vision

10 m

sampleImage_data-lake-guide
Data Lake Explained: A Comprehensive Guide for ML Teams

11 m

sampleImage_elon-musk-xai-grok-15-vision
Grok-1.5 Vision: First Multimodal Model from Elon Musk’s xAI

6 m

sampleImage_interrater-reliability-krippendorffs-alpha
Introduction to Krippendorff's Alpha: Inter-Annotator Data Reliability Metric in ML

10 m

sampleImage_gpt-4o-vs-gemini-vs-claude-3-opus
GPT-4o vs. Gemini 1.5 Pro vs. Claude 3 Opus: Multimodal AI Model Comparison

8 m

sampleImage_llama-3v-100x-smaller-than-gpt-4
Llama 3V: Multimodal Model 100x Smaller than GPT-4

6 m

sampleImage_computer-vision-model-testing-platforms
Setting Up a Computer Vision Testing Platform

8 m

sampleImage_data-curation-guide-for-video
Video Data Curation Guide for Computer Vision Teams
sampleImage_dinov2-self-supervised-learning-explained
DINOv2: Self-supervised Learning Model Explained
sampleImage_microsoft-mora-text-to-video-generation-multi-agent-framework
Microsoft MORA: Multi-Agent Video Generation Framework

8 m

sampleImage_google-deepmind-sima-ai-agent
Google’s Video Gaming Companion: Scalable Instructable Multiworld Agent [SIMA]

8 m

sampleImage_dataops-vs-mlops-whats-the-difference
DataOps Vs MLOps: What's the Difference?

8 m

sampleImage_google-gemini-1-5-generative-ai-model-with-mixture-of-experts
Gemini 1.5: Google's Generative AI Model with Mixture of Experts Architecture

10 m

sampleImage_an-introduction-to-cross-entropy-loss-functions
An Introduction to Cross-Entropy Loss Functions

10 m

sampleImage_gpt-4-vision-alternatives
GPT-4 Vision Alternatives

8 m

sampleImage_foundation-models-redefining-computer-vision
How Have Foundation Models Redefined Computer Vision Using AI?

8 m

sampleImage_meta-imagine-ai-image-generators
Meta Imagine AI Just got an Impressive GIF Update

8 m

sampleImage_continuous-validation-machine-learning
What is Continuous Validation?

8 m

sampleImage_dimentionality-reduction-techniques-machine-learning
Top 12 Dimensionality Reduction Techniques for Machine Learning

10 m

sampleImage_why-do-computer-vision-models-fail-in-production
4 Reasons Why Computer Vision Models Fail in Production

8 m

sampleImage_meta-releases-llama-3
Meta AI’s Ilama 3: The Most Awaited Intelligent AI-Assistant

5 m