Romanian Traffic Webcams - 12K

Romanian Traffic Webcams-12K (RTW-12K) is a dataset of traffic-camera images captured from publicly accessible webcams across Romania, positioned slightly above street level or mounted on taller buildings. Data were collected via the Webcam Romania (2026) platform, which provides access to a wide range of urban and traffic webcams streamed in m3u8 format or via YouTube Live. We selected 12 locations and captured frames at fixed intervals (approximately every 15 seconds, depending on the camera), yielding roughly 20,000 images per location. These locations were chosen based on traffic density and camera elevation, with some sites specifically selected to increase representation for particular vehicle categories,such as border checkpoints for trucks or railway stations where busses frequently appear. The full collection was first processed using the YOLOv12x model to obtain preliminary annotations. Based on these predictions, we selected approximately 1,000 images per target class, acknowledging that each image may contain multiple classes to achieve a more balanced dataset. All selected images were then reviewed and manually corrected to ensure annotation accuracy.To further increase dataset diversity, particularly with respect to adverse weather, we repeated the acquisition process at an additional 12 locations (some overlapping with the initial set) during heavy rainfall. From this second round, approximately 200 images per class were manually selected.The final dataset contains 12,196 images. -------------------------------------------------------------------------------------------------------------## Dataset Structure The dataset is organized as follows: ```dataset/│├── rain/│ ├── images_nodata/│ ├── labels/│ └── classes.txt│├── norain/│ ├── images_nodata/│ ├── labels/│ └── classes.txt``` ### Folder Description **images_nodata/**Contains a readme explaining how one can get the image files used in the dataset. **labels/**Contains the annotation files corresponding to the images. Each label file has the same name as its corresponding image file. **classes.txt**Lists all object classes used in the annotations. --- ## Annotation Format Annotations follow the **YOLO object detection format**. Each annotation file corresponds to one image and contains one object per line in the following format: ```<class_id> <x_center> <y_center> <width> <height>``` Where: * **class_id** – numeric identifier of the object class* **x_center** – normalized x coordinate of the bounding box center* **y_center** – normalized y coordinate of the bounding box center* **width** – normalized width of the bounding box* **height** – normalized height of the bounding box All coordinates are **normalized between 0 and 1** relative to the image size. --- ## Object Classes The dataset includes the following object categories: ```0 awning-tricycle1 bicycle2 bus3 car4 motor5 pedestrian6 people7 scooter8 semi_trailer9 tricycle10 truck11 van``` Descriptions: * **awning-tricycle** – three-wheeled vehicle with canopy* **bicycle** – standard two-wheel bicycle* **bus** – public transportation bus* **car** – passenger vehicle* **motor** – motorcycle or motorbike* **pedestrian** – single walking person* **people** – group of people* **scooter** – small two-wheel motor scooter* **semi_trailer** – articulated truck trailer* **tricycle** – three-wheel vehicle* **truck** – cargo truck* **van** – light commercial van --- ## Weather Conditions The dataset contains two weather categories: **Rain** * Images captured during rainy conditions. **No Rain** * Images captured in normal weather conditions without precipitation. This split allows researchers to study the impact of weather on object detection performance. --- ## Intended Use The dataset can be used for: * Object detection training and evaluation* Weather-aware perception systems* Traffic monitoring research* Robust detection under adverse weather conditions --- ## Data Access The annotations are publicly available.The corresponding images may be available **upon reasonable request** for research purposes. Requests should include: * Full name* Institutional affiliation* Intended use of the dataset* Confirmation that the images will not be redistributed Contact: [stefan.toma@mta.ro](mailto:stefan.toma@mta.ro) --- ## License The annotation files are released under the **CC BY 4.0 license** unless stated otherwise.The license applies to **annotations and metadata only**, not to the underlying images. --- ## Contact For questions, data access requests, or collaborations: [stefan.toma@mta.ro](mailto:stefan.toma@mta.ro)