Sovit Rath
This article shows the steps for deploying a deep learning model on HuggingFace Spaces using Gradio.
In this article, we train YOLOv8 on a custom pothole detection dataset using the Ultralytics YOLO package.
In this article, we explore the Diffusion models for Image generation and art generation. We cover models like Dall-E 2, Imagen, Stable Diffusion, and Midjourney
In this article, we explore the Ultralytics YOLOv8 models for object detection, instance segmentation, and image classification.
In this article, we explore the YOLOv5 instance segmentation architecture and run inference on several videos and images.
This article explains several performance comparison between different YOLO object detection models. These include YOLOv5, YOLOv6, and YOLOv7.
FCOS: Fully Convolutional One-stage Object Detection is an anchor-free (anchorless) object detector. Inference on image and video with PyTorch.
In this article we train the YOLOv6 Nano, Small, and Large models on a custom Underwater Trash Detection dataset and compare the results with YOLOv5 and YOLOv7.
In this blog post we review the YOLOv6 paper, carry out inference using the YOLOv6 models, and also compare YOLOv6 with YOLOv5.
This article explains the training pipeline for fine tuning of the YOLOv7 object detection model on a custom pothole detection dataset
A technical review of YOLOv7 paper along with inference report. YOLOv7 Pose detection code included.
In this blog post, we will be training YOLOv4 models on a custom pothole detection dataset using the Darknet framework and carry out inference using the trained models.
