Related Objects of Interest: referee, oppo_team, oppo_team_gk, sports ball, american, back, bank, center, city, district
Top 26 Datasets and Models
The datasets below can be used to train fine-tuned models for 26 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 26 datasets below.
by aiffel
602 images 28 classes
by Videocites
50 images 2040 classes
" "" "IT'S SOMETHING, AS I'VE GOTTEN "Mindful that the "With our clubs, we "Y'ALL TALKING ABOUT THE WRONG DAMN THING !!! Y'ALL DON'T SEE # #23 SUE WICKS #314 #ALLDAY #NHLSTATS #TOP1ORIGHTNOW #folaufaatasi $50 DIGICEL TOP UP 'INTERNATIONAL (193 Cm) (1998.08.12) (90 Kg) *** Pizza *** *SUBJECT TO CHANGE
3013 images 59 classes
(A-12) Rotatória (A-18) Lombada (A-1a) Curva acentuada à esquerda (A-1b) Curva acentuada à direita (A-24) Obras (A-2a) Curva à esquerda (A-2b) Curva à direita (A-30a) Trânsito de ciclistas (A-30b) Passagem sinalizada de ciclistas (A-32a) Trânsito de pedestres (A-32b) Passagem sinalizada de pedestres (A-33a) Área escolar (A-33b) Passagem sinalizada de escolares (A-36) Animais selvagens (A-3a) Pista sinuosa à esquerda (A-5b) Curva em "S" à direita (MA) Marcador de alinhamento (MP-1) Passagem pela direita (MP-2) Passagem pela esquerda (MP-3) Passagem dupla
1158 images 57 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Resize to 640x640 (Stretch) * annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images * export, train, and deploy computer vision models * understand and search unstructured image data * use active learning to improve your dataset over time 1 10(10pin) 10(4pin) 11 13 14 1400 15 16 17 18 19
by aiffel
184 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)
by aiffel
123 images 29 classes
by HADJEM
1238 images 103 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Random brigthness adjustment of between -1 and +1 percent * Random rotation of between -1 and +1 degrees * Random shear of between -1° to +1° horizontally and -0° to +0° vertically * Resize to 640x640 (Stretch) * annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images * export, train, and deploy computer vision models * understand and search unstructured image data * use active learning to improve your dataset over time 22 23 24 25 26 27 28 29 30