Claim: A viral social media post claims that Sierra Leone now has a giant modern ferry called The Leone Ferry. The claim was posted on Facebook with the caption Sierra Leone Ferry alongside a picture of a large white-and-blue ship branded SIERRA LEONE GIANT FERRY and THE LEONE FERRY.
Verdict: False. While the image appears to show a real vessel photographed in an unidentified international port, there is no evidence that Sierra Leone owns or operates this ferry. Forensic analysis indicates the vessel’s branding was digitally added to an authentic photograph of a real ship.
Full Text
A social media user named Samson Barrie shared an image of a large ferry painted in the country’s national colours. The ship carries inscriptions such as SIERRA LEONE GIANT FERRY and THE LEONE FERRY.
Many users reacted positively to the image, believing it was a new development in the country’s transport sector. The post gathered 889 likes, 14 comments, and 8 shares on Facebook. The commenters appear excited and hopeful about the claim.
The phrase “Thanks be to God” shows gratitude and national pride, suggesting the person believes the ferry is real and sees it as a positive development for Sierra Leone.
Because of its potential to mislead, DUBAWA verified the claim.
Verification
DUBAWA examined the viral image carefully and found several signs suggesting that it was not authentic.
An image analysis by Winston Ai, a forensic image analysis tool, yielded high confidence that the image is a human-captured photograph of a real vessel.
Image of analysis/Source: Winston AI.
The analysis states the image is determined to be a human-captured photograph of a real vessel. The primary evidence is a high CFA (Colour Filter Array) pattern score of 0.866, which is a characteristic signature of physical camera sensors and is absent in AI-generated imagery.
While the metadata has been stripped and the colour profile indicates a software export, forensic heatmaps for noise and edge anomalies show consistency across the frame. Error Level Analysis (ELA) shows expected compression artefacts on high-contrast text but no evidence of splicing or digital manipulation. The vessel and its markings are consistent with known real-world ferries.
Image of forensic analysis on heatmap/Source: Winston Ai
Why is this significant?
The Colour Filter Array (CFA) pattern is a physical artefact created by the Bayer filter mosaic that is on top of every real digital camera sensor. When light hits a camera sensor, each pixel only captures one colour channel (red, green, or blue), and the camera’s processor incorporates the missing channels. This process leaves a specific, mathematically identifiable pattern embedded in the raw pixel data.
AI image generators, such as diffusion models like Midjourney, DALL-E, or Stable Diffusion, do not simulate this process. They generate pixel values synthetically, meaning CFA patterns are absent in AI-generated images. A CFA score of 0.866 is very high and represents near-conclusive evidence of physical camera capture. This one metric alone is sufficient justification for the high confidence verdict.
To validate the claims, forensic analysis was again conducted on the image using Pixel Detective Pro. It showed the image is authentic. However, it has been digitally manipulated, meaning the ‘Sierra Leone Giant Ferry’ branding was digitally superimposed onto the image of a real vessel.
Image of forensic analysis/Source: Pixel Detective Pro.
Pixel Detective Pro uses an inverse scoring system, where 100% or a high score means fake, and a low score means authentic. The authenticity score for the image was 31%, indicating a fairly strong signal of a genuine photograph.
Source: Pixel Detective pro
On the AI forgery score, the image was rated 50%, meaning it is uncertain about the picture’s inauthenticity. Such a split score (50/50) occurs when an image looks professionally taken with high resolution or has been compressed several times.
This is supported by the Error Level Analysis, which scored the image at 0%. A 0% score means the entire image was compressed uniformly, which is the hallmark of an unaltered, single-capture photograph. If the image were AI-generated, the Error Level Analysis would show a high number to reflect the changes.
The EXIF score, which stores the image’s metadata, was 50. A perfect EXIF score would show full camera data, including the make, model, GPS, timestamp, etc. The 50% here simply means that information is absent or partial. This is extremely common and does not indicate manipulation. Sharing photos on social media platforms or exporting them from editing software can strip the image of its metadata.
AI-generated images tend to have either unnaturally smooth noise (too perfect) or chaotic noise patterns. But the forensic data showed a noise level of 9%, which is a very low noise score. This indicates the digital noise pattern across the image is natural and consistent with a real camera sensor. Therefore, a 9% score indicates the noise behaves the way it should in a photograph taken with a real camera in good lighting conditions.
Source: Pixel Detective Pro
Using the Global Fishing Watch and marine traffic sites, it revealed no records of the Sierra Leone Giant Ferry. These two sites store millions of data points on vessels’ identity, course, position, speed, and routes used. They collect their data from shore-based locations and signals from satellites.
Source: Global Fishing Watch
Source: Marine traffic
Based on the ferry’s visual imagery, DUBAWA also conducted checks on the possible locations where the image was captured. Picarta AI, an image geolocation service that predicts the coordinates of a photo, suggested that the image might have been taken in one of these locations with strong maritime activity.
1. Monaco
Fontvieille: 43.7277, 7.4182
2. Italy
Campo Calabro: 38.2161, 15.6592
Noli: 44.20565, 8.41616
San Teodoro: 40.3504, 16.7085
Rapallo: 44.3496, 9.22796
Scilla: 38.2520, 15.7184
3. Croatia
Senj: 44.98944, 14.90583
4. Bangladesh
Azimpur: 23.7298, 90.3854
5. Greece
Kavala: 40.9376, 24.4134
Again, there has been no official communication from the Government of Sierra Leone or any transport authority announcing the arrival or launch of such a ferry. Major national developments like this are usually reported by credible media institutions and government agencies. A search through credible local news platforms also produced no reports about a ferry called The Leone Ferry. There are no known public records showing that Sierra Leone recently acquired or launched a ferry matching the one in the image. Although Sierra Leone has sea transportation services, there is no evidence supporting the existence of the Sierra Leone Giant Ferry.
Conclusion
The claim that Sierra Leone has introduced a giant ferry called “The Leone Ferry” is false. There is no official evidence, media report, or government announcement confirming the existence of such a vessel. Forensic analysis strongly indicates the image is a genuine photograph of a real international vessel whose branding was digitally altered to make it appear to belong to Sierra Leone. No vessel matching this description appears in global maritime registries, including Global Fishing Watch and Marine Traffic.