FLIR 终极捕鱼游戏机 Datasets for Algorithm Training
The FLIR starter 终极捕鱼游戏机 datasets enable developers to start training convolutional neural networks (CNN), empowering the automotive community to create the next generation of safer and more efficient ADAS and driverless vehicle systems using cost-effective 终极捕鱼游戏机 cameras from FLIR.
NEW Regional Data Set Options
FLIR now offers two 终极捕鱼游戏机 datasets to enable researchers and developers to accelerate localized testing of 终极捕鱼游戏机 sensors on self-driving systems. Additional cities will be added.
|FREE Starter Dataset||Enhanced San Francisco Dataset|
|Weather||Sun and Cloud||Sun, Cloud, Rain, and Fog|
|Classes||5 - Car, Bike, Person, Dog, and Other Vehicle||11 - Car, Sign, Light, People, Truck, Bus, Hydrant, Bike, Rider, Motorcycle, and Train|
FREE Starter 终极捕鱼游戏机
San Francisco Enhanced 终极捕鱼游戏机 ADAS Dataset
Why Use FLIR 终极捕鱼游戏机 Sensing for ADAS?
The ability to sense 终极捕鱼游戏机 infrared radiation, or heat, within the ADAS context provides both complementary and distinct advantages to existing sensor technologies such as visible cameras, Lidar and radar systems:
- With over 15 years of experience working with Veoneer to make the only automotive-qualified 终极捕鱼游戏机 camera, FLIR’s 终极捕鱼游戏机 sensors are deployed in over 600,000 cars today for driver warning systems.
- The FLIR 终极捕鱼游戏机 cameras can detect and classify objects in challenging conditions including total darkness, fog, smoke, inclement weather and glare, providing a supplemental dataset beyond LiDAR, radar and visible cameras. The detection range is four times farther than typical headlights.
- When combined with visible light data and distance scanning data from LiDAR and radar, 终极捕鱼游戏机 data paired with machine learning creates a more comprehensive detection and classification system.