jigsawstack / object-detection

Recognise objects within an image with great accuracy.

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  • 11 runs
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Run time and cost

This model runs on CPU hardware. We don't yet have enough runs of this model to provide performance information.

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🎯 JigsawStack Object Detection – Replicate Wrapper

This model wraps the JigsawStack Object Detection API

This model wraps the JigsawStack Speech-to-Text API and leverages the powerful Whisper V3 model to transcribe and optionally translate audio/video files.

Detect and highlight objects in images with high accuracy using JigsawStack’s Object Detection API. This model on Replicate supports generic detection, prompt-based targeting, and optional annotated image output β€” all powered by a fast and scalable vision backend.


🧠 What It Does

You provide an image (via URL or file storage key), and the model returns: - Detected objects with labels and coordinates - Optionally, an annotated image - Support for prompt-guided detection (e.g., only detect β€œcat” or β€œhelmet”)


πŸ”‘ Inputs

Name Type Required Description
url string ❌ No Public URL to an image file
file_store_key string ❌ No Key of an image stored on JigsawStack File Storage
prompts list of strings ❌ No Optional array of prompts (e.g. ["dog", "car"]) for targeted detection
features list of enums ❌ No Features to enable. Options: object_detection, gui. At least one required
annotated_image boolean ❌ No If true, returns image with bounding boxes drawn
return_type string ❌ No url or base64 image format (default: url)
api_key string βœ… Yes Your JigsawStack API key

πŸ“Œ You must provide either url or file_store_key, not both.