train_part1 Computer Vision Project
train
Updated 2 years ago
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Classes (96)
Adristyrannus
Aleurocanthus-spiniferus
Ampelophaga
Apolygus-lucorum
Bactrocera-tsuneonis
Beet-spot-flies
Brevipoalpus-lewisi-McGregor
Ceroplastes-rubens
Chlumetia-transversa
Chrysomphalus-aonidum
Cicadella-viridis
Cicadellidae
Dacus-dorsalis-Hendel
Dasineura-sp
Deporaus-marginatus-Pascoe
Erythroneura-apicalis
Icerya-purchasi-Maskell
Lawana-imitata-Melichar
Limacodidae
Locustoidea
Lycorma-delicatula
Mango-flat-beak-leafhopper
Miridae
Nipaecoccus-vastalor
Panonchus-citri-McGregor
Papilio-xuthus
Phyllocnistis-citrella-Stainton
Pieris-canidia
Potosiabre-vitarsis
Prodenia-litura
Pseudococcus-comstocki-Kuwana
Rhytidodera-bowrinii-white
Rice-Stemfly
Salurnis-marginella-Guerr
Scirtothrips-dorsalis-Hood
Sternochetus-frigidus
Tetradacus-c-Bactrocera-minax
Thrips
Toxoptera-aurantii
Toxoptera-citricidus
Trialeurodes-vaporariorum
Unaspis-yanonensis
Xylotrechus
alfalfa-plant-bug
alfalfa-seed-chalcid
alfalfa-weevil
aphids
army-worm
asiatic-rice-borer
beet-army-worm
beet-fly
beet-weevil
bird-cherry-oataphid
black-cutworm
blister-beetle
brown-plant-hopper
cabbage-army-worm
cerodonta-denticornis
corn-borer
english-grain-aphid
flax-budworm
flea-beetle
grain-spreader-thrips
green-bug
grub
large-cutworm
legume-blister-beetle
longlegged-spider-mite
lytta-polita
meadow-moth
mole-cricket
odontothrips-loti
oides-decempunctata
paddy-stem-maggot
parathrene-regalis
peach-borer
penthaleus-major
red-spider
rice-gall-midge
rice-leaf-caterpillar
rice-leaf-roller
rice-leafhopper
rice-shell-pest
rice-water-weevil
sericaorient-alismots-chulsky
small-brown-plant-hopper
tarnished-plant-bug
therioaphis-maculata-Buckton
wheat-blossom-midge
wheat-phloeothrips
wheat-sawfly
white-backed-plant-hopper
white-margined-moth
wireworm
yellow-cutworm
yellow-rice-borer
A description for this project has not been published yet.
Cite This Project
LICENSE
CC BY 4.0
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
train_part1_dataset,
title = { train_part1 Dataset },
type = { Open Source Dataset },
author = { train },
howpublished = { \url{ https://universe.roboflow.com/train-pypww/train_part1 } },
url = { https://universe.roboflow.com/train-pypww/train_part1 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { mar },
note = { visited on 2025-03-26 },
}
