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1. BrainTumorImageClassificationProject BrainTumorImageClassificationProject Public

   The goal is to accurately distinguish between different types of brain tumors, such as gliomas, meningiomas, and pituitary tumors, or to differentiate between benign and malignant tumors.

   Jupyter Notebook

2. CIFAR10-Classification CIFAR10-Classification Public

   CIFAR-10 is a widely used dataset for image classification tasks, consisting of 60,000 color images in 10 classes, with 6,000 images per class. The images are 32x32 pixels, making them relatively s…

   Jupyter Notebook

3. DL-MNIST-HandwritingProject DL-MNIST-HandwritingProject Public

   It consists of 70,000 grayscale images of handwritten digits (0-9), each image being 28x28 pixels in size. The dataset is divided into 60,000 training images and 10,000 test images. The goal of an …

   Jupyter Notebook

4. Face-Detection-and-Blur Face-Detection-and-Blur Public

   The task of face detection and blur using Multi-task Cascaded Convolutional Networks (MTCNN) involves two main steps: detecting the faces in an image, video and applying a blur to the detected regi…

   Python

5. Face-Mask-Detection-Using-Transfer-Learning Face-Mask-Detection-Using-Transfer-Learning Public

   Face mask detection is a computer vision task aimed at identifying whether a person is wearing a face mask correctly, wearing it incorrectly, or not wearing one at all. This task became particularl…

   Jupyter Notebook

6. PoSenet-BodyPosture-Detection-Project PoSenet-BodyPosture-Detection-Project Public

   PoseNet is a deep learning-based model used for real-time human pose estimation. It detects the positions of key body parts (keypoints) in an image or video and predicts the human body pose based o…

   JavaScript