Top 512 Datasets and Models
The datasets below can be used to train fine-tuned models for 512 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 512 datasets below.
45 images 2069 classes
mask person -0-0 -100-64878048780469 -1000-0022505626407 -1000-1762127875611 -1000-8264462809908 -1001-0032508127034 -1001-8777110212488 -1002-3880414131419 -1003-4712241544406 -1003-5545789548756 -1003-9399267094751 -1005-1809269702934 -1005-4692262573712 -1007-4300071058922 -1008-9999999999981 -1009-4100906134347 -1009-4150672768247 -1009-6934516720788
8204 images 13197 classes
by colleg
776 images 113 classes
1-2-246-512-1-2-0-4-10835803369629-1963314017-20230101100806 1-2-246-512-1-2-0-4-109629343326965-1960013387-20230104094633 1-2-246-512-1-2-0-4-186371108447685-1990718976-20230104090113 1-2-246-512-1-2-0-4-223935506356264-1897116244-20221229090707 1-2-246-512-1-2-0-4-234947030026344-1798014024-20221229100208 1-2-246-512-1-2-0-4-265000097857227-1679914070-20230105083643 1-2-246-512-1-2-0-4-280263612152246-1826219162-20221228110327 1-2-246-512-1-2-0-4-295166292338281-1964914150-20230102182727 1-2-246-512-1-2-0-4-298654083137790-16721130216-20230104115701 1-2-246-512-1-2-0-4-3942525148157-16583186234-20230104100355 1-2-246-512-1-2-0-4-409965108633326-19666166179-20230103113845 1-2-246-512-1-2-0-4-41335621801178-16840170252-20230103151838 1-2-246-512-1-2-0-4-91371653522610-19119141141-20221224163938 1-2-246-512-1002-1304427102-1078281077-11857119474475702956 1-2-246-512-1002-1379361306-1314170369-10909704643441384333 1-2-246-512-1002-1392966725-1278348823-2190135227254135464 1-2-246-512-1002-1573290363-1313732831-10094021607547442872 1-2-246-512-1002-1595235956-1216394916-17313991026152031393 1-2-246-512-1002-1758840418-1074794110-13771174350773026748 1-2-246-512-1002-1879565803-1278907774-4127958099662513807
by pcbdataset
1033 images 4547 classes
object "capacitor jumper" CJ1 "capacitor jumper" CJ2 "component text" " CC BE 10000000" "component text" "-309 LL6" "component text" "0 1 2 3 4 5 6 7" "component text" "0 N" "component text" "0001 5293 170A" "component text" "0123456789ABCDEF" "component text" "021 LDBM N389" "component text" "0821-1X1T-43-F 1402 WM" "component text" "0833 LTC2274 UJ BT267910" "component text" "085811 B4T EHCR" "component text" "1 2 3 4 5 6 7 8" "component text" "1 2 3 4" "component text" "1 2 3" "component text" "1 2" "component text" "100 25V UT" "component text" "100 50V UT" "component text" "100 6V"
by colleg
113 images 113 classes
1-2-246-512-1-2-0-4-10835803369629-1963314017-20230101100806 1-2-246-512-1-2-0-4-109629343326965-1960013387-20230104094633 1-2-246-512-1-2-0-4-186371108447685-1990718976-20230104090113 1-2-246-512-1-2-0-4-223935506356264-1897116244-20221229090707 1-2-246-512-1-2-0-4-234947030026344-1798014024-20221229100208 1-2-246-512-1-2-0-4-265000097857227-1679914070-20230105083643 1-2-246-512-1-2-0-4-280263612152246-1826219162-20221228110327 1-2-246-512-1-2-0-4-295166292338281-1964914150-20230102182727 1-2-246-512-1-2-0-4-298654083137790-16721130216-20230104115701 1-2-246-512-1-2-0-4-3942525148157-16583186234-20230104100355 1-2-246-512-1-2-0-4-409965108633326-19666166179-20230103113845 1-2-246-512-1-2-0-4-41335621801178-16840170252-20230103151838 1-2-246-512-1-2-0-4-91371653522610-19119141141-20221224163938 1-2-246-512-1002-1304427102-1078281077-11857119474475702956 1-2-246-512-1002-1379361306-1314170369-10909704643441384333 1-2-246-512-1002-1392966725-1278348823-2190135227254135464 1-2-246-512-1002-1573290363-1313732831-10094021607547442872 1-2-246-512-1002-1595235956-1216394916-17313991026152031393 1-2-246-512-1002-1758840418-1074794110-13771174350773026748 1-2-246-512-1002-1879565803-1278907774-4127958099662513807
by notebook
40 images 4491 classes
"capacitor jumper" CJ1 "capacitor jumper" CJ2 "component text" " CC BE 10000000" "component text" "-309 LL6" "component text" "0 1 2 3 4 5 6 7" "component text" "0 N" "component text" "0001 5293 170A" "component text" "0123456789ABCDEF" "component text" "021 LDBM N389" "component text" "0821-1X1T-43-F 1402 WM" "component text" "0833 LTC2274 UJ BT267910" "component text" "085811 B4T EHCR" "component text" "1 2 3 4 5 6 7 8" "component text" "1 2 3 4" "component text" "1 2 3" "component text" "1 2" "component text" "100 25V UT" "component text" "100 50V UT" "component text" "100 6V" "component text" "100 CFK 7BD"
by Traffic
1958 images 1876 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Resize to 416x416 (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 100 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 101