Top 57 Datasets and Models
The datasets below can be used to train fine-tuned models for 57 detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.
At the bottom of this page, we have guides on how to train a model using the 57 datasets below.
by GCPL
8290 images 345 classes
' 12's Dotted Desir 12's Superthin Pleasure 12s Ribbed Desir 2-IN-1 Insect Killer Spray 20s Dotted Desir AER Matic Spray can CSBlu AER Matic Spray can FLGre AER Matic combi VVB AER Matic combi blue AER SPRAY COOL SURF BLUE AER SPRAY FRESHLUSH GREEN AER SPRAY MONSOON REFRESH AER SPRAY MORNINGMISTY AER SPRAY PETALCRUSH PINK AIRWICK FRESHMATIC AUTOMATICK MACHINE +REFILL LAVENDAR & LOTUS 1U +250ML REFILL AIRWICK FRESHMATIC REFILL LAVENDAR & LOTUS REFILL AIRWICK FRESHMATIC REFILL LEMON & ORANGE BLOSSOM REFILL AIRWICK FRESHMATIC REFILL LEMON - ORANGE BLOSSOM REFILL AIRWICK ROOM AIR FRESHNER SPRY ROSE &SAFFRON 245ML
by GCPL2
9377 images 373 classes
12's Dotted Desir 12's Longlast Pleasure 12's Orgasmax 12's Superthin Pleasure 12s Ribbed Desir 20's Ribbed Desir 20s Dotted Desir 4X Magnifico 4X Regal 4X icon AER Matic Spray can CSBlu AER Matic Spray can FLGre AER Matic combi VVB AER Matic combi blue AER SPRAY COOL SURF BLUE AER SPRAY FRESHLUSH GREEN AER SPRAY MONSOON REFRESH AER SPRAY MORNINGMISTY AER SPRAY PETALCRUSH PINK AIRWICK FRESHMATIC AUTOMATICK MACHINE -REFILL LAVENDAR - LOTUS 1U -250ML REFILL
299 images 562 classes
by STUST K Lab
6340 images 120 classes
0--s--unknown 1--s--Qingjiang Cuisine 100--m--Fried Cod 101--s--Sand Tea Mustard Slices 102--s--Flax 103--s--Xiuzhen Mushroom Fried Chicken 104--m--Garlic Grilled Pork Chop 105--s--Sauce 106--s--Homemade Tofu 107--m--Fried Dragon Fish 109--s--Corn 11--s--Amaranth 110--s--Sesame Belt Root 111--s--Big Melon Fungus Slices 112--m--Frying Muscle 112--m--Turou 115--s--Emerald Steamed Egg 116--s--Shrimp Tofu 117--s--Kelp Sprouting Enoki Mushroom 118--s--Sauce
602 images 100 classes
by cj 41 t0 70
8230 images 29 classes
by Trail
6712 images 45 classes
Bicycler,Female,(0-5) Bicycler,Female,(16-25) Bicycler,Female,(26-33) Bicycler,Female,(34-45) Bicycler,Female,(46-57) Bicycler,Female,(58-67) Bicycler,Female,(6-15) Bicycler,Male,(0-5) Bicycler,Male,(16-25) Bicycler,Male,(26-33) Bicycler,Male,(34-45) Bicycler,Male,(46-57) Bicycler,Male,(58-67) Bicycler,Male,(6-15) Cat Dog Person,Female,(0-5) Person,Female,(16-25) Person,Female,(26-33) Person,Female,(34-45)