多类别工具图像数据集

该数据为常见工业工具的图像集合，涵盖扳手、螺丝刀、钻头、卡尺、砂轮片等 20 + 类工具。通过高精度图像采集，覆盖不同品牌（世达、得力、博世等）、型号及规格（如不同尺寸内六角扳手、不同刃口螺丝刀），每个类别标注工具名称及关键视觉特征（如形状、颜色、结构细节），为工具识别模型训练、智能制造场景下的工具分拣与管理提供数据支撑。

This dataset is a collection of images of common industrial tools, covering more than 20 categories including wrenches, screwdrivers, drill bits, calipers, grinding wheel discs and others. Acquired via high-precision image capture, the dataset covers various brands (such as SATA, Deli, Bosch), models and specifications, e.g., hex key wrenches of different sizes and screwdrivers with different cutting edges. Each category is annotated with the tool name and key visual features including shape, color and structural details. This dataset provides data support for the training of tool recognition models, as well as tool sorting and management in intelligent manufacturing scenarios.

搜集汇总

背景与挑战

背景概述

该数据集是一个多类别工具图像集合，包含1000张图像，覆盖锤子、螺丝刀、扳手、钳子和锯子5个类别，每个类别均匀分布200张图像。所有图像均为224x224像素的JPEG格式，适用于图像分类和识别任务，具有类别平衡和标准分辨率的特点。