Update README.md

README.md

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-license: cc-by-nc-sa-4.0
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+---
+license: cc-by-nc-sa-4.0
+---
+## Introduction
+EMT is a comprehensive dataset for autonomous driving research, containing 57 minutes of diverse urban traffic footage from the Gulf Region. The dataset provides rich semantic annotations across two agent categories: people (pedestrians and cyclists), vehicles (seven classes). Each video segment spans 2.5-3 minutes, capturing challenging real-world scenarios:
+
+- **Dense Urban Traffic**: Complex multi-agent interactions in congested scenarios
+- **Weather Variations**: Clear and rainy conditions
+- **Visual Challenges**: High reflections from road surfaces and adverse weather combinations (rainy nights)
+
+The dataset provides dense annotations for:
+- **Detection & Tracking**: Multi-object tracking with consistent IDs - Available here 
+- **Trajectory Prediction**: Future motion paths and social interactions - Refer to the github repo
+- **Intention Prediction**: Behavior understanding in complex scenarios - Refer to the github repo
+
+
+Validated through benchmarking on state-of-the-art models across tracking, trajectory prediction, and intention prediction tasks, with corresponding ground truth annotations for each benchmark.
+
+
+### Data Collection
+| Aspect | Description |
+|:-------|:------------|
+| Duration | 57 minutes total footage |
+| Segments | 2.5-3 minutes continuous recordings |
+| FPS | 10fps for annotated frames |
+| Agent Classes | 2 Person classes and 7 Vehicle classes|
+
+### Agent Categories
+1. **People**   
+   - Pedestrians
+   - Cyclists
+
+2. **Vehicles**
+   - Motorbike
+   - Small motorised vehicle
+   - Medium vehicle
+   - Large vehicle
+   - Car
+   - Bus
+   - Emergency vehicle
+
+### Dataset Statistics
+| Category | Count |
+|----------|------------|
+| Annotated Frames | 34,386 |
+| Bounding Boxes | 626,634 |
+| Unique Agents | 9,094 |
+| Vehicle Instances | 7,857 |
+| Pedestrian Instances | 568 |
+
+| **Class** | **Description** | **Number of Bounding Boxes** | **Number of Agents** |
+|-----------|----------------|------------------------------|----------------------|
+| Pedestrian | An individual walking on foot. | 24,574 | 568 |
+| Cyclist | Any bicycle or electric bike rider. | 594 | 14 |
+| Motorbike | Includes motorcycles, bikes, and scooters with two or three wheels. | 11,294 | 159 |
+| Car | Any standard automobile. | 429,705 | 6,559 |
+| Small motorized vehicle | Motorized transport smaller than a car, such as mobility scooters and quad bikes. | 767 | 13 |
+| Medium vehicle | Includes vehicles larger than a standard car, such as vans or tractors. | 51,257 | 741 |
+| Large vehicle | Refers to vehicles larger than vans, such as lorries, typically with six or more wheels. | 37,757 | 579 |
+| Bus | Covers all types of buses, including school buses, single-deck, double-deck. | 19,244 | 200 |
+| Emergency vehicle | Emergency response units like ambulances, police cars, and fire trucks, distinguished by red and blue flashing lights. | 1,182 | 9 |
+| **_Overall:_** | | **576,374** | **8,842** |