Top Day Datasets and Models
The datasets below can be used to train fine-tuned models for day 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 day datasets below.
by BISU
3189 images 40 classes
Day 1 - Molmol Day 1 - Tulingan Day 10 - Molmol Day 10 - Tilapia Day 10 - Tulingan Day 11 - Molmol Day 11 - Tilapia Day 11 - Tulingan Day 12 - Molmol Day 12 - Tilapia Day 12 - Tulingan Day 13 - Molmol Day 13 - Tilapia Day 13 - Tulingan Day 14 - Molmol Day 14 - Tilapia Day 2 - Molmol Day 2 - Tulingan Day 3 - Tulingan Day 3 - Molmol
by project
142 images 79 classes
Ahead only Autotoll booth Autotoll traffic lane Bicycle / tricycle route Cross-harbour taxi stand, used with Sign 82 Cycling restriction - cyclists must dismount and push their cycles End of New Territories taxis operating area End of an expressway End of bus lane End of cycling restriction End of the prohibition, restriction or warning End of ʻno stoppingʼ restriction Give way to traffic on major road Green minibus stand Keep left Keep right Lantau taxi stand, used with Sign 82 Left lane shows bus lane for franchised and other buses during the time shown Left lane shows bus lane for franchised buses only during the time shown Length over which the prohibition or hazard exists
by Esher Art
258 images 258 classes
E101-MC-Escher-No-101-Lizards-1956 E104-MC-Escher-No-104-Lizard-1959 E105-MC-Escher-No-105-Pegasus-1959 E107-MC-Escher-No-107-Fish-1960 E109-MC-Escher-No-109-Creeping-Creature-1961 E11-MC-Escher-No-11-Sea-Horse-1937-1938 E110-MC-Escher-No-110-BirdFish-1961 E124-MC-Escher-No-124-Lizard-1965 E126-MC-Escher-No-126-FishBird-1967 E15-MC-Escher-No-15-Lizard-1937 E17-MC-Escher-No-17-Eagle-1938 E18-MC-Escher-No-18-Two-Birds-1938 E20-MC-Escher-No-20-Fish-1938 E21-MC-Escher-No-21-IMP-1938 E22-MC-Escher-No-22-BirdFish-1938 E25-MC-Escher-No-25-Lizard-1939 E28-MC-Escher-No-28-Three-Birds-1938 E34-MC-Escher-No-34-BirdFish-1941 E34B-MC-Escher-No-34B-BirdFish-1941 E38-MC-Escher-No-38-Dragonfly-1941
1356 images 52 classes
2520 images 59 classes
JAP Fancy Green - Day 27 JAP Fancy Green - Day 28 JAP Fancy Green - Day 29 JAP Fancy Green - Day 30 JAP Fancy Green - Day 31 JAP Fancy Green - Day 32 JAP Fancy Green - Day 33 JAP Fancy Green - Day 34 JAP Fancy Green - Day 35 JAP Fancy Green - Day 36 JAP L-111 - Day 27 JAP L-111 - Day 28 JAP L-111 - Day 29 JAP L-111 - Day 30 JAP L-111 - Day 31 JAP L-111 - Day 32 JAP L-111 - Day 33 JAP L-111 - Day 34 JAP L-111 - Day 35 JAP L-111 - Day 36
2905 images 1922 classes
bottle water (a) Benzyl Penicillin (a) Oxytetracycline (a) Propanolol (b) Benzathine Benzyl Penicillin (b) Chlortetracycline (b) Isopreterenol (c) Doxycycline (c) Procane Benzyl Penicillin (c) Sotalol (d) Dichloro Isopreterenol (d) Phenoxymethylpenicilin (e) cloxacillin (f) Ampicillin (g) Amoxycilin + 0 0.25mg 0.2mg
by class
77 images 112 classes
59 images 6 classes
3023 images 1935 classes
bottle water (a) Benzyl Penicillin (a) Oxytetracycline (a) Propanolol (b) Benzathine Benzyl Penicillin (b) Chlortetracycline (b) Isopreterenol (c) Doxycycline (c) Procane Benzyl Penicillin (c) Sotalol (d) Dichloro Isopreterenol (d) Phenoxymethylpenicilin (e) cloxacillin (f) Ampicillin (g) Amoxycilin + 0 0.25mg 0.2mg
1288 images 1813 classes
by wild forest
119 images 51 classes