computer vision
Projects with this topic
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API4AI is cloud-native computer vision & AI platform for startups, enterprises and individual developers. This repository contains sample mini apps that utilizes Image Anonymization API provided by API4AI.
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API4AI is cloud-native computer vision & AI platform for startups, enterprises and individual developers. This repository contains sample mini apps that utilizes Furniture and Household Stuff Recognition API provided by API4AI.
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API4AI is cloud-native computer vision & AI platform for startups, enterprises and individual developers. This repository contains sample mini apps that utilizes Object Detection API provided by API4AI.
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API4AI is cloud-native computer vision & AI platform for startups, enterprises and individual developers. This repository contains sample mini apps that utilizes General Image Classification / Labelling API provided by API4AI.
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API4AI is cloud-native computer vision & AI platform for startups, enterprises and individual developers. This repository contains sample mini apps that utilizes Fashion Apparel Recognition API provided by API4AI.
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Códigos desenvolvidos ao longo das disciplinas que cursei
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The repository with supplementary code, data and an R package for article "Fast automatic deforestation detectors and their extensions for other spatial objects".
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Image, Deep Learning, Ecology : please visit https://ecostat.gitlab.io/imaginecology/
A curated list of deep learning resources for computer vision in the context of ecology
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This repository contains all my work related to the study of effectiveness of wavelet feature extraction on: Pose estimation Human segmentation Object detection Image Processing
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Prediction of age from X-Ray images of hand bones using deep learning models. We used 3 models: Shallow, ResNet50, and InceptionV4. The best result achieved was with a mean absolute error of 10 months using InceptionV4. The preprocessing of data included computer vision techniques like CLAHE filter and reducing channels, and also creativities such as using the Google MediaPipe library to detect hands and crop on them.
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Federated learning project. Using python , pytorch , Flower , Mlflow , Docker Create architecture to create , deploy model with Flower( binary classification) .
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This project develops video analytics towards anomaly detection on edge for smart cities under low light conditions: https://iotgarage.net/projects/VideoAnalyticstowardsAnomalyDetectionontheEdge.html
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dead by daylight skillcheck parameters analyzing software
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✭ MAGNETRON ™ ✭: for making an IMAGINATION PROXIA/IMAGINATION PROXIA (A1). Instant neural graphics primitives: lightning fast NeRF (Neural Radiance Fields) and more...
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✭ MAGNETRON ™ ✭:
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorchUpdated