Top American Datasets and Models
The datasets below can be used to train fine-tuned models for american 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 american datasets below.
by Horse
680 images 19 classes
American Pipit American Redstart American Three Toed Woodpecker Anna Hummingbird Mallard Mangrove Cuckoo Marsh Wren Mockingbird Mourning Warbler Myrtle Warbler Nashville Warbler Winter Wren Worm Eating Warbler Yellow Bellied Flycatcher Yellow Billed Cuckoo Yellow Breasted Chat Yellow Headed Blackbird Yellow Throated Vireo Yellow Warbler
5250 images 525 classes
ABBOTTS-BABBLER ABBOTTS-BOOBY ABYSSINIAN-GROUND-HORNBILL AFRICAN-CROWNED-CRANE AFRICAN-EMERALD-CUCKOO AFRICAN-FIREFINCH AFRICAN-OYSTER-CATCHER AFRICAN-PIED-HORNBILL AFRICAN-PYGMY-GOOSE ALBATROSS ALBERTS-TOWHEE ALEXANDRINE-PARAKEET ALPINE-CHOUGH ALTAMIRA-YELLOWTHROAT AMERICAN-AVOCET AMERICAN-BITTERN AMERICAN-COOT AMERICAN-DIPPER AMERICAN-FLAMINGO AMERICAN-GOLDFINCH
by test
3286 images 20 classes
Alexandrine Parakeetrotation American White Pelicanrotation Ashy Priniarotation Asian Koelrotation Asian Wooly-necked storkrotation Barn owlrotation Black Kiterotation Black-and-yellow Grosbeakrotation Brahminy Kiterotation Bulbulrotation Caspian_Gullrotation Egyptian Gooserotation Great Cormorantrotation Indian Robinrotation Indian Rollerrotation IndianPeaflowrotation Little Egretrotation Oriental Magpie Robinrotation Spotted Doverotation YellowFootedGreenPegionrotation
by SmartCaptcha
1421 images 40 classes
by CSC522
9123 images 257 classes
by realkris
6495 images 75 classes
by Amrutha
1720 images 26 classes
* 50% probability of horizontal flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Random Gaussian blur of between 0 and 1.25 pixels * Random brigthness adjustment of between -25 and +25 percent * Random rotation of between -5 and +5 degrees * Random shear of between -5° to +5° horizontally and -5° to +5° vertically * Randomly crop between 0 and 20 percent of the image * 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 unstructured image data * use active learning to improve your dataset over time 22 23 24 25 ============================== American Sign Language Letters - v1 v1
1720 images 26 classes
* 50% probability of horizontal flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Random Gaussian blur of between 0 and 1.25 pixels * Random brigthness adjustment of between -25 and +25 percent * Random rotation of between -5 and +5 degrees * Random shear of between -5° to +5° horizontally and -5° to +5° vertically * Randomly crop between 0 and 20 percent of the image * 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 unstructured image data * use active learning to improve your dataset over time 22 23 24 25 ============================== American Sign Language Letters - v1 v1
by dhruti
1720 images 26 classes
* 50% probability of horizontal flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Random Gaussian blur of between 0 and 1.25 pixels * Random brigthness adjustment of between -25 and +25 percent * Random rotation of between -5 and +5 degrees * Random shear of between -5° to +5° horizontally and -5° to +5° vertically * Randomly crop between 0 and 20 percent of the image * Resize to 416x416 (Stretch) 15 16 17 18 19 20 21 22 23 24 25 ==============================
by infocom
9453 images 105 classes
0-665161669254303 0-9129009246826172 0-956363320350647 0-9766389727592468 0-9861012101173401 ADONIS AFRICAN GIANT SWALLOWTAIL AMERICAN SNOOT AN 88 APPOLLO ARCIGERA FLOWER MOTH ATALA ATLAS MOTH BANDED ORANGE HELICONIAN BANDED PEACOCK BANDED TIGER MOTH BECKERS WHITE BIRD CHERRY ERMINE MOTH BLACK HAIRSTREAK BLUE MORPHO
881 images 5241 classes
camera cheese coconut juice line nose salad " "30 "กวดขันวินัยจราจร" "ถ้ามีของครบแม่ครัวจัดให้เลยค่ะ" "ทางร้านเรามี" "ท้องถิ่นดี ภาษีช่วย ท้องถื่นสวย ภาษีสร้าง" "ยินดีรับบัตรเกษตรสุขใจ "ลิ้มจี่จักรพรรดิ์" "สะพานลอยชีวิต" "เครื่องดื่ม อร่อย สด ชื่น ชื่นใจ ใครๆก็ชอบ--ต้องลอง!" "เชฟเลือก--- "เหนือกว่าอร่อยคือ "ไซเลี่ยม ฮัสท์"
by Laxav
1800 images 27 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 0 13 16 18 21 25 3 5 ============================== A American Sign Language Letters - v1 v1 For state of the art Computer Vision training notebooks you can use with this dataset,
106 images 3398 classes