Deep Learning by training a data set for real time video inference

$750-1500 USD

En curso

Publicado

hace casi 6 años

$750-1500 USD

Pagado a la entrega

Detect some specific objects over video. The goal is to traian my own dataset based on real pictures. You must use Tensorflow and Opencv as base source code and test the next models: 1. SSD 2. Faster RCNN 3. Yolo v2 The results has to be demostrated by comparing mAP and FPS for the validation data set.

OpenCV

Python

ID del proyecto: 16836267

Información sobre el proyecto

3 propuestas

Proyecto remoto

Activo hace 6 años

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3 freelancers están ofertando un promedio de $1.287 USD por este trabajo

@DanielVizcaya91

Hello there, my name is Daniel and I would love to help you out with this project. I have a lot of experience in AI, including several image recognition problems. I am also skilled in Tensorflow so I honestly think I am the right person for the work. It would be great if I could take a look at the dataset and we could discuss further details. Also, if you are from Chile, we can talk in spanish as I'm from Colombia. Hope to hear back from you soon. Thanks

$1.250 USD en 20 días

5,0

(18 comentarios)

5,6

@FiveExceptions

Hello, I am interested in your job post "Deep Learning by training a data set for real time video inference" Do you have 10 minute for quickly discussion ?

$1.500 USD en 20 días

0,0

(0 comentarios)

3,5

@anjumsalman808

Hi, I am here! I worked in Deep Learning with Textual data mostly because I was chatbot maker. I have complete the Deep Learning specialization as well. Last time I worked on Robotics with Re-inforcement learning using Deep Belief Neural Networks (DBN). I can do this one for you as well. Please inbox me, and have a discussion as well. Thanks.

$1.111 USD en 25 días