Cf Ai Classify is a skill that runs image classification and object recognition using the Microsoft ResNet-50 model hosted on Cloudflare Workers AI. An agent using this skill can analyze photos and categorize their contents across more than 1,000 ImageNet classes, covering animals, vehicles, electronics, and scenes.

The skill supports both single-image and batch processing, allowing an agent to classify individual files or entire directories in one operation. Each result includes decimal-precision confidence scores and a ranked list of the most likely labels detected in the image. Results are saved automatically to JSON, making them straightforward to consume by downstream scripts or other agents without additional parsing steps.

Because the skill runs on Cloudflare Workers AI with a standard Cloudflare account, there are no per-call API credits consumed during free-tier usage, which makes it practical for high-volume classification workloads. The output format provides ranked predictions with confidence bars suitable for both automated pipelines and human review.

This skill does not perform open-ended visual question answering, caption generation, or detection of objects outside the ImageNet vocabulary. It is a classification tool, not a general vision-language model, so agents that need free-form image descriptions or scene understanding beyond the 1,000-category set should look elsewhere.

Use cases

Classify uploaded product photos into predefined categories for an e-commerce pipeline

Filter a directory of images by detected object type before further processing

Attach confidence-scored labels to images in a dataset annotation workflow

Trigger downstream automation based on whether an image contains a specific category

Audit large image libraries to identify animal, vehicle, or electronics content at scale

Save structured JSON classification results for ingestion into a data store or reporting tool

When to use it

When an agent needs to categorize images into one of 1,000+ ImageNet classes

When batch processing many images without exhausting per-call API credits

When structured, machine-readable JSON output is required for downstream automation

When confidence scores are needed to threshold or rank classification results

When not to use it

When the task requires free-form image captions or visual question answering

When the objects to detect fall outside the ImageNet vocabulary of roughly 1,000 categories

When the agent needs bounding boxes or spatial object localization, not just classification labels

When a Cloudflare account is not available, as the skill depends on Cloudflare Workers AI

When fine-grained domain-specific classification beyond ImageNet is required