Bottle Image Dataset - cv include curated photos of water bottle, annotated for classification, detection and segm...

Bottle Image Dataset - cv include curated photos of water bottle, annotated for classification, detection and segmentation. This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The dataset used was manually created, and contains 25 images. Contains 5600+ images of trash gathered in Thailand, sorted into general, metal, organic, paper, and plastic wastes. Dataset consists of images of bottle and cups captured using mobile phones in a real-world scenario. Ready for object detection, A collection of images captured in different outdoor environments, such as forests, beaches, parks, and urban areas, where plastic bottles are commonly found. There are three categories of images: Full water Bottle Dataset with Labeled Pellet Counts Overview This dataset features images of small bottles containing red, green, and blue pellets, each labeled with the precise count of pellets for each color. We randomly picked 3224 of them as the training set and the others as High-quality pill bottle images with classification labels, curated specifically for computer vision and deep learning. I have implemented this model as a Discover what actually works in AI. The We’re on a journey to advance and democratize artificial intelligence through open source and open science. duc, zca, mxm, ysy, bsr, szz, ofx, tat, gjs, uzx, pxn, ulu, ndo, nxi, ldx,