File:2018 Toyota Fortuner 2.4 VRZ 4x2 wagon (GUN165R; 02-18-2019), South Tangerang.jpg - Wikipedia
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Original file (4,630 × 2,656 pixels, file size: 5.52 MB, MIME type: image/jpeg)
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 14:10, 18 February 2019 | 4,630 × 2,656 (5.52 MB) | Wilzz99 | User created page with UploadWizard |
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This file contains additional information, probably added from the digital camera or scanner used to create or digitize it.
If the file has been modified from its original state, some details may not fully reflect the modified file.
Camera manufacturer | SONY |
---|---|
Camera model | DSC-W810 |
Copyright holder |
|
Exposure time | 1/250 sec (0.004) |
F-number | f/5.6 |
ISO speed rating | 200 |
Date and time of data generation | 16:40, 18 February 2019 |
Lens focal length | 11.5 mm |
Width | 4,630 px |
Height | 2,656 px |
Bits per component |
|
Pixel composition | RGB |
Orientation | Normal |
Number of components | 3 |
Horizontal resolution | 350 dpi |
Vertical resolution | 350 dpi |
Software used | Adobe Photoshop CC 2017 (Windows) |
File change date and time | 20:57, 18 February 2019 |
Y and C positioning | Co-sited |
Exposure Program | Normal program |
Exif version | 2.3 |
Date and time of digitizing | 16:40, 18 February 2019 |
Meaning of each component |
|
Image compression mode | 2.857541244655 |
Shutter speed | 7.966 |
APEX aperture | 4.971 |
Exposure bias | 0 |
Maximum land aperture | 3.615 APEX (f/3.5) |
Metering mode | Multi-Spot |
Light source | Unknown |
Flash | Flash did not fire |
Supported Flashpix version | 1 |
Color space | sRGB |
Sensing method | One-chip color area sensor |
File source | Digital still camera |
Scene type | A directly photographed image |
Custom image processing | Normal process |
Exposure mode | Auto exposure |
White balance | Auto white balance |
Focal length in 35 mm film | 64 mm |
Scene capture type | Standard |
Contrast | Normal |
Sharpness | Normal |
Date metadata was last modified | 03:57, 19 February 2019 |
Unique ID of original document | E0EAF4341ED38EAC4AF260BB83DC742D |