Related Objects of Interest: no entry, ==============================, * 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, for state of the art computer vision training notebooks you can use with this dataset,, roboflow is an end-to-end computer vision platform that helps you
Top The Computer Vision Models
The models below have been fine-tuned for various the detection tasks. You can try out each model in your browser, or test an edge deployment solution (i.e. to an NVIDIA Jetson). You can use the datasets associated with the models below as a starting point for building your own the detection model.
At the bottom of this page, we have guides on how to count thes in images and videos.
by DLProject
9271 images 249 classes
by Crickets
6558 images 52 classes
* 50% probability of horizontal flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Random rotation of between -15 and +15 degrees * 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 23 24 25 26 27 28 30 31 32 33
8775 images 178 classes
100m from concealed level crossing 2 lane usage and direction overview 200m from concealed level crossing 3 lane usage and direction overview 300m from concealed level crossing Ahead only Begin of a residential area Begin of a zone with speed limit 30 Begin of a zone with speed limit 40 Begin of expressway Begin of zone where parking is prohibited Bicycle Bus Stop Buses prohibited Camping site ahead Cars not allowed - prohibited Cattle crossing Caution, cyclists ahead Children crossing the road Circular mirror
1308 images 43 classes
Ahead only Beware of ice/snow Bicycles crossing Bumpy road Children crossing Dangerous curve to the left Dangerous curve to the right Double curve End of all speed and passing limits End of no passing End of no passing by vehicles over 3.5 metric tons End of speed limit (80km/h) General caution Go straight or left Go straight or right Keep left Keep right No entry No passing No passing for vehicles over 3.5 metric tons
by benny
300 images 100 classes
ACEITE_DE_OLIVA_ESPONAL_CARBONELL ALMOND TOSCANI ARDMONA CHOPPED TOMATOES ARNOTTS_JATZ_CRACKED_PEPPER ARNOTTS_PREMIER_CHOC CHIP & NUT COOKIES ASPRO CLEAR BEANS_MEXICAN CHILLI BOAGS STGEORGE BRITA BRITA MARELLA COOL BUCKWHEAT CENOVIS_WOMENS MULTI VITAMINS&MINERALS COLES RELIANCE COLES_PEACH_SLICES COLGATE SENSITIVE COOLABAH_DRY_RED DAIRY_MILK DANDELION_NATURAL_COFEE_ALTERNATIVE EASEACOLD EXTRA VIRGIN OLIVE OIL ALTIC TRADITIONAL
by ingredients
9335 images 38 classes
* 50% probability of horizontal flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise * Random rotation of between -15 and +15 degrees * 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 and search unstructured image data * use active learning to improve your dataset over time 23 24 25 26 27 28 29 30
3006 images 38 classes
* 50% probability of horizontal flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise * Random rotation of between -15 and +15 degrees * 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 and search unstructured image data * use active learning to improve your dataset over time 23 24 25 26 27 28 29 30
3006 images 38 classes
* 50% probability of horizontal flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise * Random rotation of between -15 and +15 degrees * Randomly crop between 0 and 20 percent of the image * Resize to 416x416 (Stretch) 13 14 15 16 17 18 19 20 21 22 23 24 25 26
by Planeat
822 images 179 classes
Acciughe in olio di girasole Aglio a fette Ananas tagliato maturato in pianta Asiago fresco Dop Bacon Basilico fresco Bastoncini di carote lavati e mondati Bocconcini di pollo Burratina fiordilatte da 125 g Cacio e pepe Calamarata Carote al vapore Carote julienne Cavolo cappuccio rosso julienne Cipolla affettata Cipolla tritata Cotoletta di pollo alla milanese CousCous Crema di carote Cubetti di caciocavallo dop Silano
3507 images 36 classes
by testing
4773 images 22 classes
button field image label text * 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 ============================== For state of the art Computer Vision training notebooks you can use with this dataset, Roboflow is an end-to-end computer vision platform that helps you The dataset includes 1900 images. This dataset was exported via roboflow.com on April 4, 2023 at 4:34 AM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com UI Components Detection - v2 2023-02-01 11:24pm heading iframe
740 images 43 classes
Ahead only Beware of ice-snow Bicycles crossing Bumpy road Children crossing Dangerous curve left Dangerous curve right Double curve End no passing veh > 3-5 tons End of no passing End of speed limit (80km-h) End speed + passing limits General caution Go straight or left Go straight or right Keep left Keep right No entry No passing No passing veh over 3-5 tons
by go4av05
8659 images 40 classes
* Random Gaussian blur of between 0 and 2.5 pixels * Random brigthness adjustment of between -25 and +25 percent * Random exposure adjustment of between -25 and +25 percent * Salt and pepper noise was applied to 5 percent of pixels * 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 17 18 19 20 21 22 23 24 25 26
9809 images 10 classes
2398 images 29 classes
roundabout -Road narrows on right Attention Please- Ban the left turn Beware of children CYCLE ROUTE AHEAD WARNING Crosswalk Dangerous Left Curve Ahead Dangerous Rright Curve Ahead No Entry No_Over_Taking One way road Speed bump ahead Speed limit Speed limit 10 Kph Speed limit 100 Kph Speed limit 120 Kph Speed limit 130 Kph Speed limit 20 Kph Speed limit 30 Kph
by PCB
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 sallaicsaba
6427 images 26 classes
* 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 - export- train- and deploy computer vision models ============================== CarDamage - v1 2023-11-25 7:09am Damage are annotated in YOLOv8 format. For state of the art Computer Vision training notebooks you can use with this dataset, For state of the art Computer Vision training notebooks you can use with this dataset- Roboflow is an end-to-end computer vision platform that helps you The dataset includes 7402 images. This dataset was exported via roboflow.com on January 12, 2024 at 8:25 AM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com damaged bumper damaged door damaged fender damaged headlight
9647 images 87 classes
Bicycle lane Bumps Bumps ahead Bus stop Camera operation zone Caution construction works ahead Caution damaged roads Caution drive slowly Caution flagman ahead Chevron (left) Chevron (right) Children Cow nearby Crossroad Crossroad on the left Crossroad on the right Crosswind area Danger Ahead Detourfollow arrow Double Bend to Left Ahead
2010 images 200 classes
Aapravasi Ghat Al Qal'a of Beni Hammad Ancient City of Ping Yao Ancient Ferrous Metallurgy Sites of Burkina Faso Ancient and Primeval Beech Forests of the Carpathians and Other Regions of Europe Ancient city of Nessebar Angkor Anjar Antigua Naval Dockyard and Related Archaeological Sites Archaeological site of Troy Architectural Residential and Cultural Complex of the Radziwill Family at Nesvizh Atlantic Forest – Southeast Reserves Australian Fossil Mammal Sites (Riversleigh / Naracoorte) Baalbek Belize Barrier Reef Reserve System Blenheim Palace Boyana Church Brazilian Atlantic Islands: Fernando de Noronha and Atol das Rocas Reserves Bursa and Cumalıkızık: the Birth of the Ottoman Empire Butrint
by ocrdetection
325 images 132 classes
dot * 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 - 0 1 19 2 20 21 22 23 24 25
by Test
9483 images 62 classes
Bicycle lane Bumps Bumps ahead Bus stop Camera operation zone Chevron (left) Chevron (right) Children Construction sign Cow nearby Crossroad Crossroad on the left Crossroad on the right Crosswind area Double Bend to Left Ahead Double Bend to Right Ahead Expressway signs 1 Expressway signs 2 Flagman ahead Give way
by FelixProject
506 images 43 classes
Ahead only Beware of ice-snow Bicycles crossing Bumpy road Children crossing Dangerous curve to the left Dangerous curve to the right Double curve End of all speed and passing limits End of no passing End of no passing by vehicles over 3-5 metric tons End of speed limit (80km-h) General caution Go straight or left Go straight or right Keep left Keep right No entry No passing No passing for vehicles over 3-5 metric tons