| --- |
| license: cc-by-4.0 |
| task_categories: |
| - object-detection |
| - video-classification |
| tags: |
| - traffic |
| - vehicle-detection |
| - vehicle-tracking |
| - cctv |
| - bengaluru |
| - urban-traffic |
| - computer-vision |
| - autonomous-driving |
| - multi-object-tracking |
| - indian-traffic |
| pretty_name: SentinelEdge Traffic Dataset |
| size_categories: |
| - 100B<n<1T |
| --- |
| |
| # SentinelEdge Traffic Dataset |
|
|
| A large-scale urban traffic dataset combining Bengaluru CCTV footage with the UA-DETRAC benchmark, assembled for the SentinelEdge traffic management and vehicle detection system. Contains ~196,000 annotated images across four sub-datasets covering Indian urban roads and international highway scenarios. |
|
|
| --- |
|
|
| ## Sub-datasets |
|
|
| ### 1. BMD-45-Train |
| - **35,792 images** from 45 Bengaluru CCTV locations |
| - **373,132 bounding box annotations** in COCO JSON format |
| - Covers mixed urban traffic including autos, two-wheelers, heavy vehicles |
|
|
| ### 2. UVH-26-Train |
| - **17,387 images** from 26 urban Bengaluru camera locations |
| - COCO JSON annotations (single-track and multi-view variants) |
| - High vehicle density, diverse lighting conditions |
|
|
| ### 3. IITM-HeTra v2 |
| - **2,836 images** from IIT Madras Heterogeneous Traffic dataset |
| - Pascal VOC XML annotations |
| - Train/val/test splits provided via `trainval.txt` and `test.txt` |
|
|
| ### 4. UA-DETRAC |
| - **140,131 images** from 100 traffic sequences recorded in Beijing and Tianjin |
| - XML annotations with per-vehicle attributes (type, occlusion, truncation) |
| - Includes MOT evaluation toolkit |
|
|
| --- |
|
|
| ## Dataset Structure |
|
|
| ``` |
| ├── BMD-45-Train/ |
| │ ├── images_000/ # 35,792 images (.png) |
| │ └── _annotations.coco.json # COCO format annotations |
| │ |
| ├── UVH-26-Train/ |
| │ ├── data/ |
| │ │ ├── 000/ # image sequences |
| │ │ ├── 001/ |
| │ │ └── 002/ |
| │ ├── UVH-26-ST-Train.json # single-track annotations |
| │ └── UVH-26-MV-Train.json # multi-view annotations |
| │ |
| ├── IITM-HeTra_v2/ |
| │ ├── Dataset-1/ |
| │ │ ├── images/ |
| │ │ ├── images_test/ |
| │ │ ├── xmls/ # Pascal VOC train annotations |
| │ │ ├── xmls_test/ # Pascal VOC test annotations |
| │ │ ├── trainval.txt |
| │ │ └── test.txt |
| │ └── Dataset-2/ |
| │ ├── images/ |
| │ ├── images_test/ |
| │ ├── xmls/ |
| │ ├── xmls_test/ |
| │ ├── trainval.txt |
| │ └── test.txt |
| │ |
| └── DETRAC/ |
| ├── DETRAC-Images/ # 140,131 images across 100 sequences |
| ├── DETRAC-Train-Annotations-XML/ |
| ├── DETRAC-Test-Annotations-XML/ |
| └── DETRAC-MOT-toolkit/ # MATLAB evaluation toolkit |
| ``` |
|
|
| --- |
|
|
| ## Vehicle Classes |
|
|
| **BMD-45, UVH-26, IITM-HeTra** (Indian traffic): |
|
|
| | Class | Description | |
| |---|---| |
| | Two-wheeler | Motorcycles, scooters | |
| | Three-wheeler | Auto-rickshaws | |
| | Hatchback | Small passenger cars | |
| | Sedan | Mid-size passenger cars | |
| | SUV | Sport utility vehicles | |
| | MUV | Multi-utility vehicles | |
| | Van | Vans | |
| | LCV | Light commercial vehicles | |
| | Mini-bus | Small buses | |
| | Bus | Full-size buses | |
| | Tempo-traveller | Tempo travellers | |
| | Truck | Heavy trucks | |
| | Bicycle | Bicycles | |
| | Others | Miscellaneous (UVH-26 only) | |
|
|
| **UA-DETRAC** (Chinese highway traffic): Car, Bus, Van, Others |
|
|
| --- |
|
|
| ## Statistics |
|
|
| | Sub-dataset | Images | Annotations | Format | Region | |
| |---|---|---|---|---| |
| | BMD-45-Train | 35,792 | 373,132 | COCO JSON | Bengaluru, India | |
| | UVH-26-Train | 17,387 | — | COCO JSON | Bengaluru, India | |
| | IITM-HeTra v2 | 2,836 | — | Pascal VOC XML | Chennai, India | |
| | UA-DETRAC | 140,131 | — | XML + MOT | Beijing/Tianjin, China | |
| | **Total** | **~196,000** | **370,000+** | | | |
|
|
| --- |
|
|
| ## Download |
|
|
| **Full dataset:** |
| ```python |
| from huggingface_hub import snapshot_download |
| |
| snapshot_download( |
| repo_id="kalyan1729/sentineledgedataset", |
| repo_type="dataset", |
| local_dir="./sentineledgedataset" |
| ) |
| ``` |
|
|
| **Single sub-dataset:** |
| ```python |
| from huggingface_hub import snapshot_download |
| |
| snapshot_download( |
| repo_id="kalyan1729/sentineledgedataset", |
| repo_type="dataset", |
| local_dir="./detrac", |
| allow_patterns="DETRAC/**" |
| ) |
| ``` |
|
|
| --- |
|
|
| ## Citation |
|
|
| If you use this dataset, please cite the original sources: |
|
|
| ``` |
| UA-DETRAC: Wen et al., "UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking", 2020. |
| IITM-HeTra: IIT Madras Heterogeneous Traffic Dataset v2. |
| ``` |
|
|
| --- |
|
|
| ## License |
|
|
| [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/) |
|
|
| Dataset compiled for the **SentinelEdge** traffic intelligence project. |
|
|
