@@ -440,110 +440,110 @@ Learn how to use fastdup as a poweruser!
440440 <!-- ------------------------------------------------------------------- -->
441441 <tr >
442442 <td rowspan="4" width="160">
443- <a href="https://visual-layer.readme.io/docs/video-face-detection ">
444- <img src="./ gallery/video-face-detection.png " width="200">
443+ <a href="https://visual-layer.readme.io/docs/running-over-extracted-features ">
444+ <img src="gallery/feature_vector.jpg " width="200">
445445 </a>
446446 </td>
447447 <td rowspan="4">
448- <b>😗 Face Detection in Videos :</b> Learn how to use fastdup with a face detection model to detect faces from videos and analyze the cropped faces for potential issues such as duplicates, near-duplicates, outliers, bright/dark/blurry faces .
448+ <b>➡️ Use Your Own Feature Vectors :</b> Learn how to read fastdup generated feature vectors in Python and use them for downstream processing, or run fastdup on your calculated feature vectors .
449449 </td>
450450 <td align="center" width="80">
451- <a href="https://nbviewer.org/github/visual-layer/fastdup/blob/main/examples/video-face-detection .ipynb">
451+ <a href="https://nbviewer.org/github/visual-layer/fastdup/blob/main/examples/feature_vectors .ipynb">
452452 <img src="./gallery/nbviewer_logo.png" height="30">
453453 </a>
454454 </td>
455455 </tr >
456456 <tr >
457457 <td align="center">
458- <a href="https://github.com/visual-layer/fastdup/blob/main/examples/video-face-detection .ipynb">
458+ <a href="https://github.com/visual-layer/fastdup/blob/main/examples/feature_vectors .ipynb">
459459 <img src="./gallery/github_logo.png" height="30">
460460 </a>
461461 </td>
462462 </tr >
463463 <tr >
464464 <td align="center">
465- <a href="https://colab.research.google.com/github/visual-layer/fastdup/blob/main/examples/video-face-detection .ipynb">
465+ <a href="https://colab.research.google.com/github/visual-layer/fastdup/blob/main/examples/feature_vectors .ipynb">
466466 <img src="./gallery/colab_logo.png" height="20">
467467 </a>
468468 </td>
469469 </tr >
470470 <tr >
471471 <td align="center">
472- <a href="https://kaggle.com/kernels/welcome?src=https://github.com/visual-layer/fastdup/blob/main/examples/video-face-detection .ipynb">
472+ <a href="https://kaggle.com/kernels/welcome?src=https://github.com/visual-layer/fastdup/blob/main/examples/feature_vectors .ipynb">
473473 <img src="./gallery/kaggle_logo.png" height="30">
474474 </a>
475475 </td>
476476 </tr >
477477 <!-- ------------------------------------------------------------------- -->
478478 <tr >
479479 <td rowspan="4" width="160">
480- <a href="https://visual-layer.readme.io/docs/video-yolov5 -detection">
481- <img src="gallery/video-yolov5 -detection.png" width="200">
480+ <a href="https://visual-layer.readme.io/docs/video-face -detection">
481+ <img src="./ gallery/video-face -detection.png" width="200">
482482 </a>
483483 </td>
484484 <td rowspan="4">
485- <b> 🤖 Object Detection in Videos:</b> Learn how to use fastdup with a pre-trained <a href="https://github.com/ultralytics/yolov5">YOLOv5</a> model to detect and analyze objects for potential issues such as duplicates, near-duplicates, outliers, bright/dark/blurry objects .
485+ <b>😗 Face Detection in Videos:</b> Learn how to use fastdup with a face detection model to detect faces from videos and analyze the cropped faces for potential issues such as duplicates, near-duplicates, outliers, bright/dark/blurry faces .
486486 </td>
487487 <td align="center" width="80">
488- <a href="https://nbviewer.org/github/visual-layer/fastdup/blob/main/examples/video-yolov5 -detection.ipynb">
488+ <a href="https://nbviewer.org/github/visual-layer/fastdup/blob/main/examples/video-face -detection.ipynb">
489489 <img src="./gallery/nbviewer_logo.png" height="30">
490490 </a>
491491 </td>
492492 </tr >
493493 <tr >
494494 <td align="center">
495- <a href="https://github.com/visual-layer/fastdup/blob/main/examples/video-yolov5 -detection.ipynb">
495+ <a href="https://github.com/visual-layer/fastdup/blob/main/examples/video-face -detection.ipynb">
496496 <img src="./gallery/github_logo.png" height="30">
497497 </a>
498498 </td>
499499 </tr >
500500 <tr >
501501 <td align="center">
502- <a href="https://colab.research.google.com/github/visual-layer/fastdup/blob/main/examples/video-yolov5 -detection.ipynb">
502+ <a href="https://colab.research.google.com/github/visual-layer/fastdup/blob/main/examples/video-face -detection.ipynb">
503503 <img src="./gallery/colab_logo.png" height="20">
504504 </a>
505505 </td>
506506 </tr >
507507 <tr >
508508 <td align="center">
509- <a href="https://kaggle.com/kernels/welcome?src=https://github.com/visual-layer/fastdup/blob/main/examples/video-yolov5 -detection.ipynb">
509+ <a href="https://kaggle.com/kernels/welcome?src=https://github.com/visual-layer/fastdup/blob/main/examples/video-face -detection.ipynb">
510510 <img src="./gallery/kaggle_logo.png" height="30">
511511 </a>
512512 </td>
513513 </tr >
514514 <!-- ------------------------------------------------------------------- -->
515515 <tr >
516516 <td rowspan="4" width="160">
517- <a href="https://visual-layer.readme.io/docs/image-search ">
518- <img src="gallery/product-matching.jpg " width="200">
517+ <a href="https://visual-layer.readme.io/docs/video-yolov5-detection ">
518+ <img src="gallery/video-yolov5-detection.png " width="200">
519519 </a>
520520 </td>
521521 <td rowspan="4">
522- <b>🔍 Image Search :</b> Learn how to use fastdup to search through large image datasets for duplicates/similar images using a query image. Runs on CPU!
522+ <b> 🤖 Object Detection in Videos :</b> Learn how to use fastdup with a pre-trained <a href="https://github.com/ultralytics/yolov5">YOLOv5</a> model to detect and analyze objects for potential issues such as duplicates, near-duplicates, outliers, bright/dark/blurry objects.
523523 </td>
524524 <td align="center" width="80">
525- <a href="https://nbviewer.org/github/visual-layer/fastdup/blob/main/examples/image-search .ipynb">
525+ <a href="https://nbviewer.org/github/visual-layer/fastdup/blob/main/examples/video-yolov5-detection .ipynb">
526526 <img src="./gallery/nbviewer_logo.png" height="30">
527527 </a>
528528 </td>
529529 </tr >
530530 <tr >
531531 <td align="center">
532- <a href="https://github.com/visual-layer/fastdup/blob/main/examples/image-search .ipynb">
532+ <a href="https://github.com/visual-layer/fastdup/blob/main/examples/video-yolov5-detection .ipynb">
533533 <img src="./gallery/github_logo.png" height="30">
534534 </a>
535535 </td>
536536 </tr >
537537 <tr >
538538 <td align="center">
539- <a href="https://colab.research.google.com/github/visual-layer/fastdup/blob/main/examples/image-search .ipynb">
539+ <a href="https://colab.research.google.com/github/visual-layer/fastdup/blob/main/examples/video-yolov5-detection .ipynb">
540540 <img src="./gallery/colab_logo.png" height="20">
541541 </a>
542542 </td>
543543 </tr >
544544 <tr >
545545 <td align="center">
546- <a href="https://kaggle.com/kernels/welcome?src=https://github.com/visual-layer/fastdup/blob/main/examples/image-search .ipynb">
546+ <a href="https://kaggle.com/kernels/welcome?src=https://github.com/visual-layer/fastdup/blob/main/examples/video-yolov5-detection .ipynb">
547547 <img src="./gallery/kaggle_logo.png" height="30">
548548 </a>
549549 </td>
@@ -552,72 +552,72 @@ Learn how to use fastdup as a poweruser!
552552 <tr >
553553 <td rowspan="4" width="160">
554554 <a href="https://visual-layer.readme.io/docs/running-over-extracted-features">
555- <img src="gallery/feature_vector .jpg" width="200">
555+ <img src="gallery/ocr_thumbnail .jpg" width="200">
556556 </a>
557557 </td>
558558 <td rowspan="4">
559- <b>➡️ Use Your Own Feature Vectors :</b> Learn how to read fastdup generated feature vectors in Python and use them for downstream processing, or run fastdup on your calculated feature vectors .
559+ <b>🔢 Optical Character Recognition :</b> Search through large image datasets optical characters with PaddleOCR .
560560 </td>
561561 <td align="center" width="80">
562- <a href="https://nbviewer.org/github/visual-layer/fastdup/blob/main/examples/feature_vectors .ipynb">
562+ <a href="https://nbviewer.org/github/visual-layer/fastdup/blob/main/examples/optical-character-recognition .ipynb">
563563 <img src="./gallery/nbviewer_logo.png" height="30">
564564 </a>
565565 </td>
566566 </tr >
567567 <tr >
568568 <td align="center">
569- <a href="https://github.com/visual-layer/fastdup/blob/main/examples/feature_vectors .ipynb">
569+ <a href="https://github.com/visual-layer/fastdup/blob/main/examples/optical-character-recognition .ipynb">
570570 <img src="./gallery/github_logo.png" height="30">
571571 </a>
572572 </td>
573573 </tr >
574574 <tr >
575575 <td align="center">
576- <a href="https://colab.research.google.com/github/visual-layer/fastdup/blob/main/examples/feature_vectors .ipynb">
576+ <a href="https://colab.research.google.com/github/visual-layer/fastdup/blob/main/examples/optical-character-recognition .ipynb">
577577 <img src="./gallery/colab_logo.png" height="20">
578578 </a>
579579 </td>
580580 </tr >
581581 <tr >
582582 <td align="center">
583- <a href="https://kaggle.com/kernels/welcome?src=https://github.com/visual-layer/fastdup/blob/main/examples/feature_vectors .ipynb">
583+ <a href="https://kaggle.com/kernels/welcome?src=https://github.com/visual-layer/fastdup/blob/main/examples/optical-character-recognition .ipynb">
584584 <img src="./gallery/kaggle_logo.png" height="30">
585585 </a>
586586 </td>
587587 </tr >
588588 <!-- ------------------------------------------------------------------- -->
589589 <tr >
590590 <td rowspan="4" width="160">
591- <a href="https://visual-layer.readme.io/docs/running-over-extracted-features ">
592- <img src="gallery/ocr_thumbnail .jpg" width="200">
591+ <a href="https://visual-layer.readme.io/docs/image-search ">
592+ <img src="gallery/product-matching .jpg" width="200">
593593 </a>
594594 </td>
595595 <td rowspan="4">
596- <b>🔢 Optical Character Recognition :</b> Search through large image datasets optical characters with PaddleOCR.
596+ <b>🔍 Image Search :</b> Learn how to use fastdup to search through large image datasets for duplicates/similar images using a query image. Runs on CPU!
597597 </td>
598598 <td align="center" width="80">
599- <a href="https://nbviewer.org/github/visual-layer/fastdup/blob/main/examples/optical-character-recognition .ipynb">
599+ <a href="https://nbviewer.org/github/visual-layer/fastdup/blob/main/examples/image-search .ipynb">
600600 <img src="./gallery/nbviewer_logo.png" height="30">
601601 </a>
602602 </td>
603603 </tr >
604604 <tr >
605605 <td align="center">
606- <a href="https://github.com/visual-layer/fastdup/blob/main/examples/optical-character-recognition .ipynb">
606+ <a href="https://github.com/visual-layer/fastdup/blob/main/examples/image-search .ipynb">
607607 <img src="./gallery/github_logo.png" height="30">
608608 </a>
609609 </td>
610610 </tr >
611611 <tr >
612612 <td align="center">
613- <a href="https://colab.research.google.com/github/visual-layer/fastdup/blob/main/examples/optical-character-recognition .ipynb">
613+ <a href="https://colab.research.google.com/github/visual-layer/fastdup/blob/main/examples/image-search .ipynb">
614614 <img src="./gallery/colab_logo.png" height="20">
615615 </a>
616616 </td>
617617 </tr >
618618 <tr >
619619 <td align="center">
620- <a href="https://kaggle.com/kernels/welcome?src=https://github.com/visual-layer/fastdup/blob/main/examples/optical-character-recognition .ipynb">
620+ <a href="https://kaggle.com/kernels/welcome?src=https://github.com/visual-layer/fastdup/blob/main/examples/image-search .ipynb">
621621 <img src="./gallery/kaggle_logo.png" height="30">
622622 </a>
623623 </td>
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