1. Purpose
The FurNets ImageQualityCheck API is an automated system designed to objectively evaluate technical quality parameters of photographs featuring Spitz breed dogs. It analyzes critical visual characteristics essential for accurate breed evaluation, with special focus on fur texture, volume preservation, and absence of compression artifacts.
2. Technical Specifications
- Supported Formats: JPEG/JPG
- Input Requirements:
- Minimum resolution: 300×300 pixels
- Recommended color space: grayscale
- Max size: 20 MB
3. Core Metrics (16 Parameters)
The tool evaluates images through four analytical dimensions:
| Category | Metrics |
| Sharpness | variance_of_laplacian, tenengrad, fwhm |
| Texture | image_entropy, glcm_contrast, glcm_homogeneity, glcm_energy |
| Compression | blockiness, jnb, glcm_dissimilarity, glcm_ASM |
| Tonal Quality | dynamic_range, gradient_contrast, glcm_correlation, congruency,niqe |
To see how enhanced images perform according to these metrics, you can visit FurNets ImageQualityCheck API Legend.