---
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.