Object Detection With Deep Learning Construction Vehicle Detection

Mastering Deep Learning For Cancer Detection eBooks & eLearning

Posted by ELK1nG at March 25, 2024

Mastering Deep Learning For Cancer Detection
Published 3/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.34 GB | Duration: 6h 26m

Empower Your Journey in AI-Driven Healthcare with Cutting-Edge Techniques and Practical Insights.

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Computer Vision: YOLO Custom Object Detection with Colab GPU eBooks & eLearning

Posted by Sigha at June 21, 2020

Computer Vision: YOLO Custom Object Detection with Colab GPU
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 2.65 GB
Genre: eLearning Video | Duration: 42 lectures (4 hour, 12 mins) | Language: English

YOLO: Pre-Trained Coco Dataset and Custom Trained Coronavirus Object Detection Model with Google Colab GPU Training.

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Computer Vision: YOLO Custom Object Detection with Colab GPU eBooks & eLearning

Posted by lucky_aut at Jan. 4, 2023

Computer Vision: YOLO Custom Object Detection with Colab GPU
Last updated 2023-01-02
Duration: 04:00:29 | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.54 GB
Genre: eLearning | Language: English

YOLO: Pre-Trained Coco Dataset and Custom Trained Coronavirus Object Detection Model with Google Colab GPU Training

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Learn OpenCV with Python by Examples eBooks & eLearning

Posted by Free butterfly at Nov. 5, 2023

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Train YOLO for Object Detection with Custom Data eBooks & eLearning

Posted by ELK1nG at July 15, 2021

Train YOLO for Object Detection with Custom Data
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.38 GB | Duration: 7h 6m

Build your own detector by labelling, training and testing on image, video and in real time with camera: YOLO v3 and v4

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"Visual Object Tracking with Deep Neural Networks" ed. by Pier Luigi Mazzeo, Srinivasan Ramakrishnan, Paolo Spagnolo eBooks & eLearning

Posted by exLib at March 10, 2020

"Visual Object Tracking with Deep Neural Networks" ed. by Pier Luigi Mazzeo, Srinivasan Ramakrishnan, Paolo Spagnolo
ITExLi | 2019 | ISBN: 1789851580 9781789851588 1789851572 9781789851571 1789851424 9781789851427 | 184 pages | PDF | 36 MB

This volume is dedicated to visual object tracking (VOT) and face recognition (FR) and presents the state-of-the-art and new algorithms, methods, and systems of these research fields by using deep learning.

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