Extract and label photo metadata

Photo metadata generally refers to the embedded information stored within an image file that describes details about the photo. Extracting and labeling photo metadata involves pulling out this data and categorizing it for easy understanding.

Here’s a breakdown of common types of photo metadata and their labels:

1. Basic File Information

• Filename: The name of the image file.

• File Size: Size of the image file in bytes/KB/MB.

• File Format: JPEG, PNG, TIFF, etc.

• Creation Date: When the file was created.

• Modification Date: When the file was last modified.

2. Image Properties

• Dimensions: Width x Height in pixels.

• Resolution: DPI (dots per inch).

• Color Space: RGB, CMYK, sRGB, Adobe RGB, etc.

• Bit Depth: Number of bits per channel.

3. EXIF Data (Exchangeable Image File Format)

• Camera Make: Brand of the camera (e.g., Canon, Nikon).

• Camera Model: Specific model number.

• Exposure Time: Shutter speed (e.g., 1/200s).

• F-Number: Aperture value (e.g., f/2.8).

• ISO Speed: Sensitivity to light.

• Focal Length: Lens focal length in mm.

• Flash Status: Whether flash fired.

• White Balance: Auto or manual settings.

• Date and Time Taken: When the photo was actually taken.

• GPS Coordinates: Latitude, longitude, and altitude (if location enabled).

4. IPTC Data (International Press Telecommunications Council)

• Caption/Description: Text describing the photo.

• Keywords: Tags related to the photo content.

• Creator/Photographer: Name of the person who took the photo.

• Copyright Info: Copyright holder and usage terms.

• Headline: Title or headline for the image.

• Location: Place where photo was taken (city, country).

5. XMP Data (Extensible Metadata Platform)

• Metadata stored in XML format, often overlaps with IPTC but also includes:

• Rating: User rating (stars).

• Labels: User-added tags or labels.

• Editing History: Software used and changes made.

If you want, I can help you extract metadata from a specific photo or provide code snippets/tools for extraction. Would you prefer an example using a tool like ExifTool, Python, or a web-based service?