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Top Error Computer Vision Models
The models below have been fine-tuned for various error 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 error detection model.
At the bottom of this page, we have guides on how to count errors in images and videos.
651 images 39 classes 1 model
target abiding angelfish aizen medaka akai maou betta bitter pufferfish blazing heartfeather bass brown shirakodai crystalfish dawncatcher divda ray formalo ray glaze medaka golden koi halcyon jade axe marlin lazurite axe marlin lunged stickleback maintenance mek- gold leader maintenance mek- initial configuration maintenance mek- platinum collection
2.2k images 7 classes 2 models
664 images 4 classes 1 model
243 images 8 classes 3 models
318 images 23 classes 1 model
9.1k images 18 classes 1 model
40 images 4491 classes 1 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"