# Roboflow Annotate

Published articles for Roboflow Annotate.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## Finding Edge Cases in a Computer Vision Dataset

DevFeed: [Finding Edge Cases in a Computer Vision Dataset](<https://devfeed.tech/articles/finding-edge-cases-in-a-computer-vision-dataset-49809.md>)

Original publisher: [Read original article](<https://blog.roboflow.com/finding-edge-ases-in-a-computer-vision-dataset/>)

Author: Mostafa Ibrahim

Published: 2026-09-02T19:23:00Z

Content type: tutorial

Language: en

Sources: [Roboflow Blog](<https://devfeed.tech/sources/roboflow-blog.md>)

Topics: [Computer vision](<https://devfeed.tech/topics/computer-vision.md>), [dataset](<https://devfeed.tech/topics/dataset.md>), [vlm](<https://devfeed.tech/topics/vlm.md>), [Training AI Models](<https://devfeed.tech/topics/training-ai-models.md>), [LLM evaluation / benchmarking](<https://devfeed.tech/topics/llm-evaluation-benchmarking.md>), [Embeddings](<https://devfeed.tech/topics/embeddings.md>)

Tags: [computer-vision](<https://devfeed.tech/tags/computer-vision.md>), [dataset](<https://devfeed.tech/tags/dataset.md>), [evaluation](<https://devfeed.tech/tags/evaluation.md>), [export](<https://devfeed.tech/tags/export.md>), [model-training](<https://devfeed.tech/tags/model-training.md>), [roboflow-annotate](<https://devfeed.tech/tags/roboflow-annotate.md>), [training](<https://devfeed.tech/tags/training.md>), [training-data](<https://devfeed.tech/tags/training-data.md>), [vlm](<https://devfeed.tech/tags/vlm.md>)

### AI overview

A tutorial shows how to find computer vision edge cases in unlabeled production images. It uses low-confidence or missing detections, distribution comparisons, confusion matrices, embedding clusters, and a vision-language model to identify difficult images, which are then labeled and used for retraining.

### Source excerpt

Mine low-confidence predictions from production images, review them with a VLM, then label and retrain.

## How to Auto-Label Image Data with Gemini 3.7 in Roboflow

DevFeed: [How to Auto-Label Image Data with Gemini 3.7 in Roboflow](<https://devfeed.tech/articles/how-to-auto-label-image-data-with-gemini-3-7-in-roboflow-49814.md>)

Original publisher: [Read original article](<https://blog.roboflow.com/how-to-auto-label-image-data-with-gemini-3-7-in-roboflow/>)

Author: Mostafa Ibrahim

Published: 2026-08-28T17:51:00Z

Content type: tutorial

Language: en

Sources: [Roboflow Blog](<https://devfeed.tech/sources/roboflow-blog.md>)

Topics: [object-detection](<https://devfeed.tech/topics/object-detection.md>), [vlm](<https://devfeed.tech/topics/vlm.md>), [ImageNet](<https://devfeed.tech/topics/imagenet.md>)

Tags: [computer-vision](<https://devfeed.tech/tags/computer-vision.md>), [dataset](<https://devfeed.tech/tags/dataset.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [labeling](<https://devfeed.tech/tags/labeling.md>), [object-detection](<https://devfeed.tech/tags/object-detection.md>), [roboflow-annotate](<https://devfeed.tech/tags/roboflow-annotate.md>), [vision-language-model](<https://devfeed.tech/tags/vision-language-model.md>)

### AI overview

This tutorial explains how to use Roboflow Auto Label with Gemini 3.7 Flash to label object-detection datasets. It covers zero-shot bounding-box generation from class names, the model's limitations, and reviewing and correcting missed or inaccurate boxes.

### Source excerpt

Roboflow Auto Label runs Gemini 3.7 across the batch and returns bounding boxes for the classes you define.