{"uid":"cap_DudbeB5rrQ2hSmhIcFKFU","slug":"locate-in-image-object-detection-with-bounding-boxes-8e960929","name":"Locate in Image (Object Detection with Bounding Boxes)","description":"Find up to 4 things in one image: each comes back with whether it is there (a probability) and its box, as edges from 0 to 1. Preview: built on Jev features its maker labels experimental. Answers come from a model, not deterministic code.","url":"https://agent402.tools/v1/judge/locate?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"image":{"type":"object","description":"{ format: \"png\" | \"jpeg\", data_base64 }; each side 280 to 1568 px."},"targets":{"type":"array","items":{"type":"string"},"description":"What to find, up to 4, for example \"the coffee mug\"."}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.002","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.002/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_NdvLJkc6t4ZkhUjUq6Kou","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.002","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Detects up to 4 specified objects in a single image, returning presence probability and normalized bounding box coordinates for each target.","exampleAgentPrompt":"Look at this JPEG image I'm sending and find me the bounding boxes for 'the red apple', 'the wooden table', and 'the glass of water' — tell me if each one is there and where it is in the image.","exampleUseCases":[{"title":"Product placement verification in ad photos","prompt":"I have a PNG screenshot of our ad creative — can you check whether 'the brand logo', 'the product bottle', and 'the call-to-action button' are all visible, and tell me where each one appears in the image?"},{"title":"Safety check for construction site images","prompt":"Here's a JPEG photo from our construction site. Can you detect whether 'the hard hat', 'the safety vest', and 'the warning cone' are present and give me their positions?"},{"title":"Automated retail shelf audit","prompt":"I'm uploading a JPEG image of a store shelf — please find 'the cereal box', 'the price tag', and 'the shelf label' and tell me the probability each one is there along with their bounding boxes."}],"resultDescription":"For each of the up to 4 specified target objects, the endpoint returns a probability score indicating likelihood of presence and normalized bounding box coordinates (edges expressed as values between 0 and 1 relative to image dimensions), allowing precise spatial localization within the image.","failureModes":["Image dimensions outside 256–1568px per side will be rejected","More than 4 targets specified will be refused","Unsupported image format (not PNG or JPEG) causes an error","Model may return low-confidence results for ambiguous or occluded objects — probabilistic, not deterministic","Base64 encoding errors or malformed image data will cause a parsing failure","Network timeouts possible for large images"],"whenToPreferThis":"Choose this endpoint when you need both presence detection and spatial localization (bounding boxes) for a small set of named objects in a single image without running your own computer vision infrastructure. It is ideal for lightweight, pay-per-call object detection tasks where you need normalized box coordinates (0–1 scale) for up to 4 targets at once. Prefer alternatives if you need to detect more than 4 objects, require pixel-perfect deterministic results, or need to process large batches of images efficiently.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T07:11:26.471Z","isFirstParty":false,"canonicalSlug":"locate-in-image-object-detection-with-bounding-boxes-8e960929"}