Upload & QAC
Field imagery, metadata and provenance checked at trip scale.
RAW EVIDENCEReef-scale AI · human judgement
COTSpotter connects AI analysis, human validation and integrated reef data to help us see crown-of-thorns starfish sooner and act with greater confidence.
01 / NATIVE PREDATOR
The challenge
Crown-of-thorns starfish naturally feed on coral. The management problem begins when their abundance reaches outbreak levels and coral loss outpaces recovery.
From balance to outbreak
Drag across the reef to explore how feeding pressure builds.
Three complementary views
COTSpotter does not replace established field methods. It brings their distinct evidence into one traceable decision layer.
Different purpose. Different resolution. Different effort. One shared reef context.
The COTSpotter workflow
Every result remains connected to its source survey, AI run, review decisions and certification status.
Field imagery, metadata and provenance checked at trip scale.
RAW EVIDENCEAI identifies candidate COTS detections across the imagery.
MACHINE ASSISTEDPeople confirm, reject or flag uncertain detections.
REVIEWEDCertified evidence returns as maps, reports, data and APIs.
DECISION READYCOTSpotter presents candidate detections in a focused review workflow. Validators can quickly confirm a COTS, reject a false detection, or flag an uncertain case for expert review.
Evidence across scales
Image-derived detections show promising spatial agreement with established manta tow and cull evidence. The comparison is encouraging—and still needs more matched data.
Read with care: blank areas are often gaps in effort or timing—not evidence that methods disagree. Robust calibration requires surveys matched in both space and time.
The current constraint
The June 2026 snapshot covers approximately 30 months of data from January 2024. Image surveys covered about one-tenth the measured distance of the established manta tow record. The smaller image-derived evidence base is an expected consequence of lower deployment effort—not a test of method quality.
8,184 km ÷ 905 km = 9.04
| Method | COTS evidence | Survey / records | Effort | What it contributes |
|---|---|---|---|---|
| Cull | ~125,000 | ~28,000 | 1,444 days | Direct control evidence and a large operational record |
| Manta tow | ~3,000 | ~41,000 | 8,184 km | Long-running, broadscale visual surveillance |
| Image | 251 | 618 | 905 km | Persistent, reviewable, high-detail evidence |
Scale image collection by roughly an order of magnitude—and deliberately match surveys in space and time—to move from promising detections toward calibrated density and confidence.
Built through collaboration
Field operations, management, monitoring platforms, science, funding, AI and cloud infrastructure must work as one delivery system.
Funding, COTS Control Innovation leadership and coordination.
Management context, RJFMP field operations and workflow collaboration.
ReefScan platforms, image generation, provenance and deployment of edge AI.
TensorFlow/Kaggle origins, large-scale data collection support, and cloud, Vertex AI and Gemini technology.
AI research, integration, validation, analytics and data products.
Information for Sea Country
COTSpotter data can help Traditional Custodians see where and when COTS surveys have occurred and what was observed. Initial engagement is planned for the coming months, with the project fact sheet providing a practical starting point for those conversations.
Download the project fact sheetThe workflow is built
Help expand matched image collection, calibration and operational adoption for the people protecting the Reef.