roboflow/awesome-openai-vision-api-experiments resource

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1690 stars · 135 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated collection of experiments demonstrating how to build applications on top of the OpenAI Vision API (GPT-4V), including zero-shot classification, detection with GroundingDINO, and webcam chat apps. It serves as a hub for learning and combining GPT-4V with foundational computer vision models.

Use cases

• experiment with the openai vision api
• build zero-shot image classification with gpt-4v
• do object detection with gpt-4v and grounding dino
• chat with a webcam video stream using gpt-4v
• compare gpt-4v against clip for image understanding
• learn to combine vision language models with sam segmentation

When to choose

• you want ready-made example code for the OpenAI Vision API
• you need inspiration for combining GPT-4V with models like GroundingDINO or SAM
• you are exploring zero-shot visual AI applications

When to avoid

• you need a production-ready library or SDK rather than example experiments
• you need object detection or segmentation from GPT-4V alone without complementary models
• you cannot obtain an OpenAI API key or need fully offline solutions

Facets

learning-resource · maturity maintenance

computer-vision image-processing machine-learning llm-inference developer-tools computer-vision artificial-intelligence large-language-models tutorials awesome-lists python cross-platform openai-vision-api gpt-4v zero-shot-learning grounding-dino segment-anything clip awesome-list experiments

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