JLW Technology has recently launched several new finished data sets, including images, videos and other types of data, covering a variety of scenarios, which can meet the diverse needs of different models.
High-quality finished data sets can be used to train and optimize the model, enabling the model to understand and process tasks more comprehensively and accurately, and better respond to complex application scenarios and diverse needs, thereby promoting computer vision, natural language processing and other fields. skill improved.
1. Drone Dataset
Data content: Videos of more than 10 types of drones of different brands and models on the market from take-off to landing at different angles and distances, at least 10 different scenes, each video is more than 5 minutes.
2. Dry the data set along the street
Data content: Residents are drying clothes, quilts, sundries, etc. by the side of the road, requiring multiple pictures from different perspectives and scenes.
3. Whether to leash the dog data set
Data content: Pictures or videos of different people walking their dogs on a leash, requiring more than 10 different scenes and more than 10 different dogs.
4. Inflatable Arch Dataset
Data content: More than 10 types of inflatable arch pictures, including multiple perspectives and background environments.
5. No goggles dataset
Data content: Videos or pictures of different people wearing goggles, many different styles of goggles, and many different scenes.
6. Ship break-in dataset
Data content: There are videos or images of small fishing boats and other small boats in inland river areas such as reservoir channels.
7. Data set of outdoor air conditioner
Data content: Contains pictures of different types of air conditioner external units.
8. Propaganda Banner Dataset
Data content: Contains promotional banner images with different contents and lengths.
9. Open Barbecue Dataset
Data content: Contains pictures of outdoor barbecues.
10. Illegal small advertisement data set
Data content: post small advertisement pictures on walls, wire poles, etc.
11. Illegal connection slope data set
Data content: Pictures of slopes that should not be connected to slopes on the side of the road without permission.
12. Poultry Dataset
Data content: Videos of raising chickens, ducks and geese in more than 10 different scenes.
13. Construction site material random pile data set
Data content: More than 10 types of different construction site scenes, pictures of various types of construction site materials piled up from different angles.
14. River floating object data set
Data content: More than 10 types of different water areas, garbage (such as plastic bottles, plastic bags, etc.) and other floating objects pictures.
15. Road non-motor vehicle data set (including tricycles, bicycles, etc.)
Data content: more than 10 types of different scenes, more than 20 different videos or pictures of bicycles and tricycles.
The finished data set of Jinglianwen Technology, a leading AI basic data company, contains 200TB of computer vision data, 80,000 hours of multilingual speech recognition data, and 60 million pieces of natural language understanding data, covering autonomous driving, smart security, smart home, smart Internet, smart Main industry application scenarios such as finance.
Committed to promoting the construction of a data resource standard system, providing high-quality data element supply services in terms of data production, data management platform, data asset market circulation, and data resource planning.
In the future, JLW Technology will continue to provide more high-quality artificial intelligence training data.
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