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Use AI to count the number of people in an image. Supports JPG/PNG uploads and image resizing for accurate counting results.
When you need to quickly and accurately count the number of people in a group photo, event venue, or surveillance footage, manual counting is both time-consuming and prone to errors. This tool uses computer vision deep learning models to automatically detect human subjects in an image and output the total count. Image people counting is the process of detecting and counting visible human bodies in static images, outputting an integer value representing the total number of people.
Q: What is the maximum number of people the tool can count?
The detection limit depends on the image resolution and crowd density. High-resolution images can identify hundreds of people, but accuracy may decrease for dense crowds with small targets.
Q: Why is the counted result sometimes lower than the actual number of people?
When individuals overlap, lighting is poor, or facial orientations are unusual, the model may not detect every person. We recommend trying images taken from multiple angles.
Please ensure the proportion of people in the image is appropriate. Excessive downsizing can cause a loss of features, while excessive upscaling increases the risk of false detections. The data processed by this tool is used solely for counting purposes; we do not store or share your image content.
For densely populated scenes, we recommend enhancing the image first to improve contrast. Typical examples: For a 1024x768 group photo with a scaling ratio of 0.8, the output detects 25 people; for a 1920x1080 surveillance frame kept at its original size, the output detects 18 people. The counting error is generally controlled within a range of ±2 people.
