[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Examine this Sentinel-2 coastal/ocean image and identify potential vessel candidates or maritime activity.

[Assistant] Detected 3 potential vessel candidate region(s) over water (~22.7% water coverage). Observation quality: good. Detections are candidate-level optical findings, not confirmations.

profile: oceanscout


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Locate potential vessel candidates in this image and return JSON list with normalized bboxes.

[Assistant] [{"label": "vessel_candidate", "bbox": [0.6652, 0.0312, 0.6696, 0.058]}, {"label": "vessel_candidate", "bbox": [0.6429, 0.0312, 0.6518, 0.0446]}, {"label": "vessel_candidate", "bbox": [0.567, 0.5804, 0.5759, 0.5938]}]


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Examine this Sentinel-2 coastal/ocean image and identify potential vessel candidates or maritime activity.

[Assistant] Detected 4 potential vessel candidate region(s) over water (~22.7% water coverage). Observation quality: good. Detections are candidate-level optical findings, not confirmations.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Locate potential vessel candidates in this image and return JSON list with normalized bboxes.

[Assistant] [{"label": "vessel_candidate", "bbox": [0.1429, 0.0312, 0.1518, 0.0446]}, {"label": "vessel_candidate", "bbox": [0.067, 0.5804, 0.0759, 0.5938]}, {"label": "vessel_candidate", "bbox": [0.808, 0.8973, 0.8348, 0.8973]}, {"label": "vessel_candidate", "bbox": [0.6875, 0.8571, 0.7098, 0.8571]}]


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Examine this Sentinel-2 coastal/ocean image and identify potential vessel candidates or maritime activity.

[Assistant] Detected 2 potential vessel candidate region(s) over water (~22.7% water coverage). Observation quality: good. Detections are candidate-level optical findings, not confirmations.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Locate potential vessel candidates in this image and return JSON list with normalized bboxes.

[Assistant] [{"label": "vessel_candidate", "bbox": [0.567, 0.0804, 0.5759, 0.0938]}, {"label": "vessel_candidate", "bbox": [0.4062, 0.6027, 0.4196, 0.6161]}]


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Examine this Sentinel-2 coastal/ocean image and identify potential vessel candidates or maritime activity.

[Assistant] Detected 3 potential vessel candidate region(s) over water (~22.7% water coverage). Observation quality: good. Detections are candidate-level optical findings, not confirmations.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Locate potential vessel candidates in this image and return JSON list with normalized bboxes.

[Assistant] [{"label": "vessel_candidate", "bbox": [0.067, 0.0804, 0.0759, 0.0938]}, {"label": "vessel_candidate", "bbox": [0.808, 0.3973, 0.8348, 0.3973]}, {"label": "vessel_candidate", "bbox": [0.6875, 0.3571, 0.7098, 0.3571]}]


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Examine this Sentinel-2 coastal/ocean image and identify potential vessel candidates or maritime activity.

[Assistant] Detected 1 potential vessel candidate region(s) over water (~39.1% water coverage). Observation quality: good. Detections are candidate-level optical findings, not confirmations.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Locate potential vessel candidates in this image and return JSON list with normalized bboxes.

[Assistant] [{"label": "vessel_candidate", "bbox": [0.5536, 0.9241, 0.567, 0.942]}]


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Examine this Sentinel-2 coastal/ocean image and identify potential vessel candidates or maritime activity.

[Assistant] Detected 3 potential vessel candidate region(s) over water (~39.1% water coverage). Observation quality: good. Detections are candidate-level optical findings, not confirmations.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Locate potential vessel candidates in this image and return JSON list with normalized bboxes.

[Assistant] [{"label": "vessel_candidate", "bbox": [0.6071, 0.8973, 0.6562, 0.942]}, {"label": "vessel_candidate", "bbox": [0.6027, 0.9196, 0.625, 0.9688]}, {"label": "vessel_candidate", "bbox": [0.0536, 0.9241, 0.067, 0.942]}]


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Examine this Sentinel-2 coastal/ocean image and identify potential vessel candidates or maritime activity.

[Assistant] Detected 3 potential vessel candidate region(s) over water (~39.1% water coverage). Observation quality: good. Detections are candidate-level optical findings, not confirmations.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Locate potential vessel candidates in this image and return JSON list with normalized bboxes.

[Assistant] [{"label": "vessel_candidate", "bbox": [0.6696, 0.6161, 0.7054, 0.6429]}, {"label": "vessel_candidate", "bbox": [0.5536, 0.4241, 0.567, 0.442]}, {"label": "vessel_candidate", "bbox": [0.0759, 0.4911, 0.0848, 0.5]}]


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Examine this Sentinel-2 coastal/ocean image and identify potential vessel candidates or maritime activity.

[Assistant] Detected 5 potential vessel candidate region(s) over water (~39.1% water coverage). Observation quality: good. Detections are candidate-level optical findings, not confirmations.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Locate potential vessel candidates in this image and return JSON list with normalized bboxes.

[Assistant] [{"label": "vessel_candidate", "bbox": [0.6071, 0.3973, 0.6562, 0.442]}, {"label": "vessel_candidate", "bbox": [0.6027, 0.4196, 0.625, 0.4688]}, {"label": "vessel_candidate", "bbox": [0.1696, 0.6161, 0.2054, 0.6429]}, {"label": "vessel_candidate", "bbox": [0.6875, 0.6562, 0.7098, 0.6741]}, {"label": "vessel_candidate", "bbox": [0.0536, 0.4241, 0.067, 0.442]}]