yolo_annotation_tool
DarkMark
| yolo_annotation_tool | DarkMark | |
|---|---|---|
| 1 | 8 | |
| 46 | 146 | |
| - | - | |
| 10.0 | 6.9 | |
| over 1 year ago | about 2 months ago | |
| C++ | C++ | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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yolo_annotation_tool
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[Discussion] Object Detection annotation in YOLO format
You can try this https://github.com/2vin/yolo_annotation_tool
DarkMark
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Using YOLO for annotation in CVAT
Also see DarkMark. For several years it has had support for loading custom Darknet/YOLO weights (not just MSCOCO!) to help annotate more images. https://www.ccoderun.ca/darkmark/Summary.html
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[Discussion] YOLOv5 training questions, specificaly re-training best practices
You should look at DarkMark. I wrote it specifically to do what you describe. It is an annotation tool that loads the Darknet/YOLO weights, so it can assist in annotating images. I annotate a few images and train, reload DarkMark to annotate some more, train, rinse, lather, repeat.
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When to use YOLOv5 and when not to use the model?
Disclaimer: I'm the author of DarkHelp (the C++ library for Darknet) and DarkMark (the annotation and project management tool for Darknet).
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Annotate data for tracking
If using Darknet/YOLO, look up DarkMark which does have support for video, as well as loading existing neural networks to help annotate images (or video frames) faster. Some info on getting started: https://www.ccoderun.ca/programming/darknet\_faq/#how\_to\_get\_started
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Free AI assisted image labelling tool
You can find DarkMark here: https://github.com/stephanecharette/DarkMark
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Reduce false positive in object detection
Disclaimer: I'm the author of DarkHelp and DarkMark, and I run the Darknet/YOLO discord.
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Extracting Images from Video
I use DarkMark's video import functionality to extract video frames. See this screenshot: https://www.ccoderun.ca/darkmark/Summary.html#DarkMarkImportVideoFrames
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Annotating and detecting objects in a video
DarkMark will extract frames from a video (lots of options, either all frames, sequences of frames, random number of frames, png vs jpeg, resize frames, ...) and then will let you annotate them as you normally would. https://github.com/stephanecharette/DarkMark
What are some alternatives?
ybat - Ybat - YOLO BBox Annotation Tool
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
gw - Genome browser and variant annotation
image-quality-assessment - Convolutional Neural Networks to predict the aesthetic and technical quality of images.
django-labeller - An image labelling tool for creating segmentation data sets, for Django and Flask.
VIAME - Video and Image Analytics for Multiple Environments
DarkHelp - C++ wrapper library for Darknet
DarkPlate - License plate parsing using Darknet and YOLO
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
layerx-community - LayerX-AI is a comprehensive platform to annotate and manage your machine learning data.
NerOne - Low level C++ neural network engine. The engine provides a huge flexibility in creating neural networks. It also gives an ability for performance optimisations.
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )