官方服务：
资源简介：
This dataset is used for training GP and YOLOv3.
应用场景：
创建时间：
2024-11-01
相关数据集
CFruit image dataset for YOLO Fruit detector
The image dataset contains seven target categories: bitter_melon, cucumber, muskmelon, melon_boyang, strawberry, jujube, cherry. The dataset is divided into a training set of 3956 samples (train1, tra
Zenodo2025-07-04 更新60
Deep Learning for Microfluidic Assisted Caenorhabditis elegans Multi-parameter Identification Using YOLOv7
The effectiveness of deep learning model relies on a large number of labeled image datasets. We have collected a dataset of 3373 worm images from microfluidic devices in various studies as datasets. T
Zenodo2023-04-11 更新30
2_Fishtracker.zip
Codebase for the fish tracking algorithm described in the paper. (Readme enclosed)
DataCite Commons2023-06-08 更新30
Posture_4520_my_yolo_dataset contains 4520 images——train2
The Posture_4520_my_yolo_dataset contains 4520 images. According to the ratio of 8:1:1, the training set (3616), the verification set (452), the test set (452).
Figshare2023-08-09 更新60
Manually Recognized Charcoal Hearths for Training Mask R-CNN (Shapefile)
This is a vector file (in shapefile format) of manually identified charcoal hearths. This was used to train Mask R-CNN to recognize additional relict charcoal hearths. For additional information, p
NIAID Data Ecosystem30
