Object Detection
Los 10 mejores productos de julio de 2025
Última actualización:
8 de julio de 2025
BPB Publications
Mastering New Age Computer Vision: Advanced techniques in computer vision object detection, segmentation, and deep learning (English Edition)
Envío gratis
99
CALIDAD MÁXIMA
VER EN AMAZON
Amazon.es
#1 GANADOR
BPB Publications
Mastering Neural Network Computer Vision with TensorFlow and Keras: A practical guide to image use cases like object detection, image segmentation, and text recognition (English Edition)
97
CALIDAD SUPERIOR
VER EN AMAZON
Amazon.es
#2
Independently published
OBJECT DETECTION
Envío gratis
96
CALIDAD SUPERIOR
VER EN AMAZON
Amazon.es
#3
Advanced Applied Deep Learning : Convolutional Neural Networks and Object Detection
88
CALIDAD DISTINGUIDA
VER EN AMAZON
Amazon.es
#4
Manning Pubns Co
Deep Learning With Python
Envío gratis
85
CALIDAD FIABLE
VER EN AMAZON
Amazon.es
#5
BPB Publications
Mastering New Age Computer Vision: Advanced techniques in computer vision object detection, segmentation, and deep learning (English Edition)
82
CALIDAD FIABLE
VER EN AMAZON
Amazon.es
#6
Object Detection and Recognition in Digital Images: Theory and Practice 1st edition by Cyganek, Boguslaw (2013) Hardcover
79
CALIDAD BUENA
VER EN AMAZON
Amazon.es
#7
BPB Publications
Elements of Deep Learning for Computer Vision: Explore Deep Neural Network Architectures, PyTorch, Object Detection Algorithms, and Computer Vision Applications for Python Coders (English Edition)
75
CALIDAD BUENA
VER EN AMAZON
Amazon.es
#8
Loboo Idea
Photoelectric Switch Relay Output Light Control Optoelectronic Sensor for Object Detection
72
CALIDAD BUENA
VER EN AMAZON
Amazon.es
#9
▼ Mostrar más
▲ Mostrar menos
[ACCURATE DETECTION]: The photoelectric switch detects non-transparent objects within a 50cm range with a swift 20ms response speed.
[PRECISE CONTROL]: With , this sensor effectively senses target objects for automatic and precise operation.
[RELIABLE PERFORMANCE]: Equipped with relay output control, ensuring long-term stability and excellent performance.
[VERSATILE APPLICATION]: Widely used in light control, automation equipment, and various industrial settings for improved efficiency and security.
[EASY INSTALLATION]: Simple structure and included accessories make installation a breeze, enhancing usability.
26,99 € EN AMAZON
Waveshare
Waveshare Jetson-Nano-Dev-Kit-A, an Alternative Solution for Jetson Nano Developer Kit B01, with AC8265 Dual-Mode Nic, for Image Classification, Object Detection, Segmentation, Speech Processing...
Envío gratis
68
CALIDAD BUENA
VER EN AMAZON
Amazon.es
#10
▼ Mostrar más
▲ Mostrar menos
Comprehensive Accessories: Includes Jetson Nano Module Core Board, Jetson Nano Expansion Board, 64GB micro TF card, card reader and official cooler for multiple AI applications. It is almost the same as B01, and can be compatible with the expansion board and case of B01 official KIT
With drive-free 5G (867 Mbps) / 2.4 G (300 Mbps) wireless NIC: supports BT and WiFi dual modes, and 6DB high-gain dual antennas effectively improve penetration, and make data transmission wider and smoother, which is suitable for mobile networking scenarios. Please note that only the Jetson Nano system is drive-free
Stable storage: The Nano core board comes with 16GB eMMC, which is stable for reading and writing, and does not require an external micro TF card as a system boot disk, which is sufficient for installing system images and meeting general development and learning requirements. However, the 64GB mirco TF card provided meets the storage capacity of complex development projects
Multiple interface support: Support 2-way CSI camera, ideal for binocular parallax algorithm distance measurement, face recognition, live body detection, recording VR video and other applications that require binocular vision, and support 4K dual-screen output (DisplayPort and HDMI)
Rich connectivity: four USB 3.2 Gen 1 ports and colorful 40PIN GPIO ports make it easy to connect to a variety of peripherals, and the functions are clear at a glance
232,99 € EN AMAZON
detection
#1 GANADOR
