IQ
idealo/image-quality-assessment
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
2.2k 458 +0/wk
GitHub
aws computer-vision convolutional-neural-networks deep-learning e-commerce idealo image-quality-assessment keras machine-learning mobilenet neural-network nima
Trend
0
Star & Fork Trend (52 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
idealo/image-quality-assessment has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | image-quality-assessment | open-terminal | PyTorch-NLP | Turing.jl |
|---|---|---|---|---|
| Stars | 2.2k | 2.2k | 2.2k | 2.2k |
| Forks | 458 | 169 | 256 | 235 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Julia |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | BSD-3-Clause | MIT |
Capability Radar vs open-terminal
image-quality-assessment
open-terminal
Maintenance Activity 0
Last code push 635 days ago.
Community Engagement 100
Fork-to-star ratio: 20.5%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.