1. Ingest 1 or bulk images classified as "Master image"
2. Ingest related supporting images (supporting image 1, supporting image 2, supporting image n)
3. Use Google Vision API, Tensorflow and other identified APIs to identify the image.
4. Extract geo information from master and supporting images
5. Identify location of supporting images on the master image
6. Determine percentage coverage of each of the objects identified in the supporting images in the master image.
16 freelance font une offre moyenne de $1245 pour ce travail
Hi there! My name is Lyu, full stack software developer and engineer skilled in image processing programming. https://www.freelancer.com/u/truepai I would like to hear more details of the project and discuss fur Plus
Hello , Dear I am very interested in your project and am ready for discussing with you about project for now. I have experienced in developing Java, Software Architecture, Windows Desktop. I will work very hard an Plus
Hello Sir, Thank you for your job posting. I am an expert in computer vision and image processing with high experience and deep knowledge. For several years, I have worked with complex computer vision projects Plus
"Granular" image recognition solution using Google Vision, Tensorflow & identified API. Hello, I read your description and got what to do. I am looking forward to discussing more for your project. I am ready now Plus
How are you. Nice to meet you. I am very interested in your requirements. I have the ability to fulfill your requirements. If you hire me, I will work hard and you will get good results. Thank you
Hello. I am a a senior computer vision expert and have made lots of detection engines. Using openCV, I have made face detection, and make up engines especially working with RasberryPi. I made car number detection en Plus
Hello, I read your project description posted. I am a Java, Software Architecture, Windows Desktop expert and have plenty of experience of it. However, I'd like to discuss more detail with you now.,./ I am free to Plus
Hi, I understand your project requirement and ready to start working on it but please come over chat for further details discussion to start working on it. Thanks
"Granular" image recognition solution using Google Vision, Tensorflow & identified API. Dear sir I have completed projects similar to your requirement in the past. If you could share your project detail requirem Plus
Hello, Sir. Nice to meet you. thanks for your project. This project is my own type and I am very interested in this project. I will provide you with a perfect and best solution. I am a professional python OpenCV and Te Plus
Dear client, Thanks a lot for taking your precious time to read my message. After browsing your job description, I am very interested in your project and I believe I’m qualified for the task. Regarding Image r Plus
Hello! I am a python developer. I looked at your project and it seems interesting. I am expert in tensorflow, object detection, object tracking, face recognization, image classification, and have all necessary skills r Plus
Hi. I am very happy to apply this project. I am an expert if deep learning/computer vision. I will share video demp you to view my experiences. I have developed Traffice projcet already with deep learning for India Plus
Hi I have read your description and i can complete your work i have 7 years experience Google Vision, Excel & VBA Macros with 93 Word Per Minute if you can see my work please check my portfolio Thanks & Regards Q Plus
Hello, We can use Google Vision API to detrmine the percent of possibility for a type of Granular. something is not clear for us is that what's the role of supporting image comparing to master image. can you please Plus