Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,26 @@
|
|
| 1 |
-
---
|
| 2 |
-
license: cc-by-nc-nd-4.0
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: cc-by-nc-nd-4.0
|
| 3 |
+
task_categories:
|
| 4 |
+
- object-detection
|
| 5 |
+
tags:
|
| 6 |
+
- Auto
|
| 7 |
+
- Computer Vision
|
| 8 |
+
- Machine learning
|
| 9 |
+
- Smart Cities
|
| 10 |
+
- bbox
|
| 11 |
+
- urban traffic
|
| 12 |
+
size_categories:
|
| 13 |
+
- n<1K
|
| 14 |
+
---
|
| 15 |
+
# Traffic Dataset - 500 Videos
|
| 16 |
+
Dataset comprises **500** videos of urban traffic captured by surveillance cameras, providing **real-time traffic** data enriched with **bounding box** annotations for vehicles and pedestrians. Designed for **traffic monitoring** and **safety research**, the dataset supports tasks like **vehicle detection**, **traffic flow analysis**, and **accident prediction**.
|
| 17 |
+
|
| 18 |
+
By leveraging this dataset, researchers and engineers can advance **real-time object detection**, **traffic surveillance systems**, and **intelligent transportation solutions**.- **[Get the data](https://unidata.pro/datasets/real-time-traffic-and-environmental-video-dataset/?utm_source=huggingface&utm_medium=referral&utm_campaign=real-time-traffic-video-dataset)**
|
| 19 |
+
|
| 20 |
+
Each frame is meticulously labeled in COCO-style JSON format, enabling seamless integration with object detection and tracking pipelines.With its focus on two primary object categories - cars and pedestrians - this dataset serves as a practical resource for developing and testing object detection and tracking algorithms in traffic scenarios.
|
| 21 |
+
|
| 22 |
+
## 💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at [https://unidata.pro](https://unidata.pro/datasets/real-time-traffic-and-environmental-video-dataset/?utm_source=huggingface&utm_medium=referral&utm_campaign=real-time-traffic-video-dataset) to discuss your requirements and pricing options.
|
| 23 |
+
|
| 24 |
+
1920×1080 resolution across all frames facilitates reliable model training and evaluation for applications such as traffic flow optimization, pedestrian safety systems, and autonomous vehicle development.
|
| 25 |
+
|
| 26 |
+
## 🌐 [UniData](https://unidata.pro/datasets/real-time-traffic-and-environmental-video-dataset/?utm_source=huggingface&utm_medium=referral&utm_campaign=real-time-traffic-video-dataset) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects
|