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.

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Stephen Oladele

All blogs by Stephen Oladele

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

10 m

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

10 m

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

10 m

sampleImage_evaluate-foundation-model-clip-with-encord-active-part1
Machine LearningModel Evaluation
Part 1: Evaluating Foundation Models (CLIP) using Encord Active
sampleImage_data-lake-guide
Data Operations
Data Lake Explained: A Comprehensive Guide for ML Teams

11 m

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

8 m

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

6 m

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

10 m

sampleImage_microsoft-mora-text-to-video-generation-multi-agent-framework
Machine Learning
Microsoft MORA: Multi-Agent Video Generation Framework

8 m

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

10 m

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

8 m

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

8 m

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

8 m

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

10 m

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

8 m

sampleImage_data-curation-guide-for-video
Computer VisionData Curation
Video Data Curation Guide for Computer Vision Teams
sampleImage_intelligent-character-recognition-icr
Computer Vision
Intelligent Character Recognition: Process, Tools and Applications

8 m

sampleImage_cvat-alternatives
Top 12 CVAT Alternatives [2025]

8 m

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

10 m

sampleImage_gpt-4o-vs-gemini-vs-claude-3-opus
Machine LearningMultimodal
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
Machine LearningMultimodal
Llama 3V: Multimodal Model 100x Smaller than GPT-4

6 m

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

8 m

sampleImage_dinov2-self-supervised-learning-explained
Machine Learning
DINOv2: Self-supervised Learning Model Explained
sampleImage_dataops-vs-mlops-whats-the-difference
Machine Learning
DataOps Vs MLOps: What's the Difference?

8 m

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

10 m

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

8 m

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

5 m