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Top One Computer Vision Models
The models below have been fine-tuned for various one 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 one detection model.
At the bottom of this page, we have guides on how to count ones in images and videos.
1614 images 113 classes
by TEST 1
2254 images 35 classes
chicken train #-Healthy-and-Sick-Chicken-Detection->-2023-02-04-2:29pm *-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 *-Random-exposure-adjustment-of-between--25-and-+25-percent *-Resize-to-416x416-(Stretch) *-annotate *-collaborate-with-your-team-on-computer-vision-projects *-collect-&-organize-images *-export *-understand-and-search-unstructured-image-data *-use-active-learning-to-improve-your-dataset-over-time 1WOC-are-annotated-in-Tensorflow-Object-Detection-format. 2024-at-10:31-AM-GMT ============================== For-state-of-the-art-Computer-Vision-training-notebooks-you-can-use-with-this-dataset Healthy-and-Sick-Chicken-Detection---v18-2023-02-04-2:29pm
42 images 41 classes
black-tape halo-body halo-target mpms-target mpms-target-head-body mpms-target-head-body-first-layer mpms-target-head-body-innermost-layer mpms-target-head-body-second-layer mpms-target-miss-arm-left mpms-target-miss-arm-right mpms-target-miss-head mpms-target-miss-head-left mpms-target-miss-head-right one-bh paper-rip q2-top-left-black-circle q20-b8-10-ring q20-b8-7-ring q20-b8-8-ring q20-b8-9-ring
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