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Related Objects of Interest: "component text" 102 , "component text" 472 , "electrolytic capacitor" c163 , "electrolytic capacitor" c164 , "resistor network" rm2 , "resistor network" rm3 , "resistor network" unknown , "test point" unknown , capacitor c11 , capacitor c12
Top The Datasets and Models
The datasets below can be used to train fine-tuned models for the 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 the datasets below.


199 images1 model
capacitorclockdioderesistor* annotate, and create datasets* collaborate with your team on computer vision projects* collect & organize images* understand and search unstructured image data==============================For state of the art Computer Vision training notebooks you can use with this dataset,ICInductorThe following pre-processing was applied to each image:Transistorconnectorkitapcb - v2 2024-05-02 4:19pm


184 images
bluecapacitorredyellow- Auto-orientation of pixel data (with EXIF-orientation stripping)- Resize to 640x640 (Stretch)- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time10 mF103PF104 mF104 micro farad104mF10E10KPF10MF10PF10k ohm120PF


1428 images
-- 50- probability of horizontal flip- Auto-orientation of pixel data -with EXIF-orientation stripping-- Grayscale -CRT phosphor-- Random Gaussian blur of between 0 and 2-5 pixels- Randomly crop between 0 and 20 percent of the image- 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 time2324262728293031


529 images1 model
* Auto-orientation of pixel data (with EXIF-orientation stripping)* 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 time10010001001100210031004100510061007100810091011010


800 images
* 50% probability of horizontal flip* 50% probability of vertical flip* Auto-orientation of pixel data (with EXIF-orientation stripping)* Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down* Random rotation of between -11 and +11 degrees* Random shear of between -15° to +15° horizontally and -15° to +15° vertically* Resize to 640x640 (Stretch)* 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 time10010001001100210031004


1338 images
-- 50- probability of horizontal flip- 50- probability of vertical flip- Auto-orientation of pixel data -with EXIF-orientation stripping-- Grayscale -CRT phosphor-- Random Gaussian blur of between 0 and 0-8 pixels- Random rotation of between -12 and -12 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 time100101102103104105


140 images


2320 images
* 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==============================Abrar Wahaibi Defects Detection - v2 2023-12-10 11:01pmFor 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 youThis dataset was exported via roboflow.com on May 24, 2024 at 12:55 PM GMTvisit https://github.com/roboflow/notebooks


40 images1 model
"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"


160 images
* 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==============================Eindopdracht - v1 2024-04-29 9:03pmFor 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 youThis dataset was exported via roboflow.com on May 7, 2024 at 11:14 AM GMTvisit https://github.com/roboflow/notebooks


148 images1 model
speaker24V-power-cordacousto-optic-alarmarea-displaybus-isolation-modulecoded-smoke-detectorcoded-temperature-detectordedicated-metal-module-box-for-fire-pumpdedicated-metal-module-box-for-fire-smoke-exhaust-fandedicated-metal-module-box-for-fire-supplementary-fandeflation-indicator-lightelectrical-fire-monitoring-lineemergency-manual-start/stop-buttonexplosion-proof-smoke-detectorfire-broadcasting-linefire-equipment-power-monitoring-linefire-fan-manual-control-linefire-hydrant-buttonfire-telephone-extensionfire-water-pump-manual-control-line


148 images
speaker24V-power-cordacousto-optic-alarmarea-displaybus-isolation-modulecoded-smoke-detectorcoded-temperature-detectordedicated-metal-module-box-for-fire-pumpdedicated-metal-module-box-for-fire-smoke-exhaust-fandedicated-metal-module-box-for-fire-supplementary-fandeflation-indicator-lightelectrical-fire-monitoring-lineemergency-manual-start/stop-buttonexplosion-proof-smoke-detectorfire-broadcasting-linefire-equipment-power-monitoring-linefire-fan-manual-control-linefire-hydrant-buttonfire-telephone-extensionfire-water-pump-manual-control-line


1033 images
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"


50 images
capacitordiodeinductorresistorswitch"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"


1158 images
* 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 time110(10pin)10(4pin)11131414001516171819


419 images
* Auto-orientation of pixel data (with EXIF-orientation stripping)* Grayscale (CRT phosphor)* Random rotation of between -45 and +45 degrees* Resize to 2048x2048 (Fit (white edges))* Salt and pepper noise was applied to 1 percent of pixels* collaborate with your team on computer vision projects* understand and search unstructured image data* use active learning to improve your dataset over time100101102103104105106107108109110111


40 images2 models
"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"


40 images
"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"


40 images
"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"


40 images
"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"


276 images
CXR similar to prior views 1M and 2M ago with some slight improvement; on HRZ(E)x2 monthsLUL infiltrateRUL apical fibrotic disease with some calcifications; extensive irregular infiltrates in left lung with a large area of cavitation- findings consistent with old inactive disease in RL and new active TB in LL- On the lordotic viewimagesimproved infiltrates in both lungs; a cavity is now visible in lingula compared with 1M ago- culture positiveimprovements after Rx- Has pleuralinactive TB scars LULlarge right pleural effusionpositive improvement in cavities


83 images
Crack transversal - Major Cosmetic - Light StructuralDEFEITOS-EM-BLADES-2Delamination - Non-Critical - StructuralLep damaged - Light CosmeticLightning Strike - Major StructuralLightning Strike - Non-Critical - StructuralMetallic tip damaged - Minor CosmeticTop Coat - Erosion in the LE - Light CosmeticTop Coat - Erosion in the LE - Major Cosmetic - Light StructuralTop Coat - Erosion in the LE - Minor CosmeticTop Coat - Erosion in the LE - Non-Critical - StructuralTop Coat - Peeling - Light CosmeticTop Coat - Peeling - Major Cosmetic - Light StructuralTop Coat - Peeling - Minor CosmeticTop Coat - Pitting - Light CosmeticTop Coat - Pitting - Minor Cosmetic


92 images
Crack transversal - Major Cosmetic - Light StructuralDelamination - Non-Critical - StructuralLightning Strike - Non-Critical - StructuralTop Coat - Erosion in the LE - Light CosmeticTop Coat - Erosion in the LE - Major Cosmetic - Light StructuralTop Coat - Erosion in the LE - Minor CosmeticTop Coat - Erosion in the LE - Non-Critical - StructuralTop Coat - Peeling - Light CosmeticTop Coat - Peeling - Major Cosmetic - Light StructuralTop Coat - Peeling - Minor CosmeticTop Coat - Pitting - Light CosmeticTop Coat - Pitting - Minor CosmeticTop Coat - Scratch - Light CosmeticTop Coat - Superficial Crack - Minor Cosmetic


83 images
Crack transversal - Major Cosmetic - Light StructuralCrack transversal - Major Cosmetic - Light StructuralDEFEITOS-EM-BLADES-2Delamination - Non-Critical - StructuralLep damaged - Light CosmeticLightning Strike - Major StructuralLightning Strike - Non-Critical - StructuralMetallic tip damaged - Minor CosmeticTop Coat - Erosion in the LE - Light CosmeticTop Coat - Erosion in the LE - Major Cosmetic - Light StructuralTop Coat - Erosion in the LE - Major Cosmetic - Light StructuralTop Coat - Erosion in the LE - Minor CosmeticTop Coat - Erosion in the LE - Non-Critical - StructuralTop Coat - Peeling - Light CosmeticTop Coat - Peeling - Major Cosmetic - Light StructuralTop Coat - Peeling - Major Cosmetic - Light StructuralTop Coat - Peeling - Minor CosmeticTop Coat - Pitting - Light CosmeticTop Coat - Pitting - Minor CosmeticTop Coat - Scratch - Light Cosmetic


1082 images1 model
object011111 and has 2 level of gingivitis 3 at position 1211 and has 4 level of gingivitis 1 at position 1311 in upper jaw and teeth11 in upper jaw and teeth has 2 level of gingivitis 1 at position 4111 in upper jaw and teeth has 3 level of gingivitis 2 at position 4211 is non-inflamed at position and has teeth 1311 level of gingivitis 2 and has teeth 121212 and has 2 level of gingivitis 2 at position 1112 and has 3 level of gingivitis 3 at position 1112 and has 4 level of gingivitis 1 at position 1112 and has 4 level of gingivitis 2 at position 1112 in upper jaw and teeth has 1 level of gingivitis 1 at position 43 in lower jaw; Level 2 gingivitis teeth 1112 in upper jaw and teeth has 2 level of gingivitis 1 at position 4112 in upper jaw and teeth has 3 level of gingivitis 1 at position 4212 in upper jaw and teeth has 3 level of gingivitis 3 at position 43


100 images
CXR similar to prior views 1M and 2M ago with some slight improvement; on HRZ(E)x2 monthsLUL infiltrateRUL apical fibrotic disease with some calcifications; extensive irregular infiltrates in left lung with a large area of cavitation- findings consistent with old inactive disease in RL and new active TB in LL- On the lordotic viewimagesimproved infiltrates in both lungs; a cavity is now visible in lingula compared with 1M ago- culture positiveimprovements after Rx- Has pleuralinactive TB scars LULlarge right pleural effusionpositive improvement in cavities


40 images4 models
"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 6V""component text" "100 CFK 7BD""component text" "100 CFK- 7BD""component text" "100 VFK- 87"


86 images
keyboardlaptopphone* 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 time1920212223==============================E-waste are annotated in YOLOv8 format.For state of the art Computer Vision training notebooks you can use with this dataset,Motherboard


51 images5 models
capacitor"capacitor jumper" CJ1"capacitor jumper" CJ2"component text" "021 LDBM N389""component text" "0833 LTC2274 UJ BT267910""component text" "0N 5C""component text" "1 2 3 4""component text" "107A 938H4""component text" "2-2uH 141ANC""component text" "2-2uH 1514NC""component text" "476A 939J2""component text" "687 6K 206""component text" "HY911130A 1550""component text" "LTDQP 0HB2 e3""component text" "O N O J""component text" "PN:MYS-7Z020-C SN:MM0302533""component text" "R12-0 OUSJ""component text" "T250 Mm3F""component text" "XILINX ZYNQTM XC7Z020TM CL6400ACX1517 05061945A 1C TAIWAN NKB822 00-00""component text" +


1052 images
* 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 time1920212223==============================All_connections 20240402 draft 2 - v1 2024-04-12 2:43pmConnectors-eOTd-wazh are annotated in YOLOv8 format.For state of the art Computer Vision training notebooks you can use with this dataset,No image augmentation techniques were applied.Roboflow is an end-to-end computer vision platform that helps youThe dataset includes 1078 images.


35 images
"component text" "47 25S- T85""component text" "697 6K 206""component text" "93AA66CI SN 1103 DE0""component text" "MAXIM MAX2837 ETM 509 8SY03AK""component text" "MAXIM MAX5864 ETM 405 BQGT1AA""component text" "MCC 5K22""component text" "MXU 58810""component text" "NXP LPC4320FBD144 SC3N9 04 9SD15070C""component text" "RJ9 117-5""component text" "S15351 BMF020 1452""component text" "T250 VU4T""component text" "XILINX XC2C64A VQG100AMS1201 F4339159A 7C""component text" 102"component text" 103"component text" 220"component text" 472"component text" 505Y"diode zener array" DA1"diode zener array" DA3"electrolytic capacitor" C157


43 images
"capacitor jumper" CJ1"capacitor jumper" CJ2"component text" "-309 LL6""component text" "0 N""component text" "0001 5293 170A""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" "0N 5C""component text" "1 2 3 4""component text" "1 2""component text" "100 CFK 7BD""component text" "100 CFK- 7BD""component text" "100 VFK- 87""component text" "100 VFK- 8R7""component text" "106C 43JJ2""component text" "107A 938H4""component text" "12-000""component text" "15 203"


42 images1 model
"capacitor jumper" CJ1"capacitor jumper" CJ2"component text" "-309 LL6""component text" "0 N""component text" "0001 5293 170A""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" "0N 5C""component text" "1 2 3 4""component text" "1 2""component text" "100 CFK 7BD""component text" "100 CFK- 7BD""component text" "100 VFK- 87""component text" "100 VFK- 8R7""component text" "106C 43JJ2""component text" "107A 938H4""component text" "12-000""component text" "15 203"