[SAMPLE] Nexdata |Vehicle Detection and Tracking Images Data| 3 Million Images | Computer Vision ...

1. Specifications
Data size : 3 million images

Collecting environment : underground parking lot, surface parking lot, entrance and exit gates, outdoor roads (highways, urban roads, etc.)

Data diversity : different surveillance scenes, different time periods, different cameras, various vehicle distributions (crowded, sparse)

Device : surveillance camera, cellphone (a few)

Collecting angle : looking down angle, eye-level angle

Collecting time : day, night

Data format : the image data format is .jpg, the annotation file format is .json

Annotation content : vehicles rectangular bounding boxes and vehicle type attributes were annotated

Accuracy : the bounding box of vehicle is qualified when the deviation is not more than 3 pixels, and the qualified rate of the bounding box shall not be lower than 97%

2. About Nexdata
Nexdata owns off-the-shelf 1,000,000 hours of speech recognition data, 800TB of Annotated Imagery Data, about 2 billion pieces of Natural Language Processing (NLP) Data. These ready-to-go Identity Data supports instant delivery, quickly improve the accuracy of AI models. For more details, please visit us at https://www.nexdata.ai/datasets/computervision?source=Datarade