File size: 4,775 Bytes
de18d21 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 | ---
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.
|