| Recommendation | Rationale | |----------------|-----------| | (including sensor specs, processing pipeline, and bias analysis) | Improves reproducibility and aligns with FAIR principles | | 2. Extend coverage to Southern Moravia | Balances geographic representation and enables comparative studies | | 3. Capture a winter acquisition campaign | Completes seasonal cycle, essential for climate‑impact research | | 4. Provide a pre‑blended RGB‑Depth version (e.g., from stereo rigs) | Facilitates 3‑D perception research without extra reconstruction steps | | 5. Set up a community hub (e.g., a Zenodo community) | Encourages collaborative annotation, dataset enrichment, and citation tracking |
CzechStreets 124 emerges as a covering roughly 124 km of Czech road network. Its precise geolocation, robust privacy safeguards, and permissive CC‑BY‑4.0 license make it a valuable asset for a spectrum of academic and municipal applications. While its current footprint is limited geographically and seasonally, the dataset already demonstrates strong utility in computer‑vision benchmarking, urban‑ecology quantification, and heritage documentation. By addressing the outlined limitations czechstreets 124