Projects with this topic
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A synthetic dataset generation and detection pipeline for counting coins and identifying those showing "tails" in images. It combines YOLOv26m for detection with a CoinCLIP-based SVM classifier, and includes a custom NMS post-processing step to improve counting accuracy.
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Pictures blurring API for a Panoramax instance.
Was previously hosted at https://github.com/cquest/sgblur
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A computer vision solution implemented in Python that utilizes deep learning techniques to classify food imagery for dietary analysis and nutritional tracking.
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idtracker.ai tracks up to 100 unmarked animals from videos recorded in laboratory conditions using artificial intelligence. Free and open source.
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German number plates data for computer vision
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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 NSFW Content Recognition API provided by API4AI.
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This project leverages the Brain Tumor Image database to develop a semantic segmentation model for detecting brain tumors. The model is based on an encoder-decoder U-Net architecture, which classifies each pixel in a medical image as either tumor or healthy tissue. The resulting segmentation is visualized as a binary mask, clearly delineating the tumor region from the surrounding healthy areas.
The model successfully localizes the tumor’s global position with high accuracy but the precise shape and boundaries remain approximate (moderate Dice coefficient). Extending the training phase with additional epochs could refine the segmentation quality, leading to a higher Dice coefficient and more accurate tumor delineation.
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lbplib2d-rs a high-performance feature extraction tool that provides optimized implementations of 2D Local Binary Pattern (LBP) and its core variants. Built in Rust for speed and memory efficiency, it includes Python bindings to offer seamless integration for researchers and developers working on image analysis and computer vision tasks
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Robochan: middleware for interfacing between generic algorithms (controllers) and robotic platforms and environments (parrot, gym, robosim etc.)
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A custom convolutional neural network (CNN) was developed from scratch and trained to recognize flower types using pcituires from the Flowers Recognition Dataset. The model’s architecture and hyperparameters were optimized to maximize recognition accuracy.
The custom CNN is compared against MobileNetV2, a pre-trained model fine-tuned using transfer learning. The comparison highlights the trade-offs between custom-built models and transfer learning approaches in terms of accuracy, training efficiency, and computational cost.
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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 Wine 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 Virtual Try-On 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 OCR 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 People Photo Background Removal 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 Image Background Removal 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 Cars Image Background Removal 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 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 Image Upscale 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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