Add dataset card

README.md

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+---
+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.