datasets
coco-annotator
datasets | coco-annotator | |
---|---|---|
3 | 7 | |
2 | 2,019 | |
- | - | |
3.9 | 0.0 | |
about 2 months ago | 7 months ago | |
Python | Vue | |
Creative Commons Zero v1.0 Universal | MIT License |
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datasets
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Easy Guide to Integrating Kafka: Practical Solutions for Managing Blob Data
ReductStore is a specialized time-series database designed for blob data, optimized for edge computing, computer vision, and IoT applications.
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
When seeking an on-premise alternative to LandingEdge for sophisticated edge computing and computer vision tasks, ReductStore emerges as a compelling solution. This Time-Series Database is tailored for Blob Data, emphasizing optimizations that cater to the unique demands of Edge Computing, IoT, and Computer Vision applications.
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ReductStore - time series database for blob data with a focus on AI needs
To attract users and bring some value, I started collecting public datasets and hosting them with the database: https://github.com/reductstore/datasets. You can get the datasets using client SDKs or a CLI tool.
coco-annotator
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
For instance, the COCO Annotator is a web-based image annotation tool tailored for the COCO dataset format, allowing collaborative labeling with features like attribute tagging and automatic segmentation. Similarly, Label Studio offers an easy-to-use interface for bounding box object labeling in images.
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[D] Labeling tool runs locally on my machine, but there is an option for creating multiple users?
I'm trying to use Coco-annotator: https://github.com/jsbroks/coco-annotator
- Does anyone knows any free annotation tool for keypoints in coco format
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Detectron2: No instances in prediction
I'm trying to train Detectron2 on a custom dataset that I annotated with coco-annotator. After training I wanted to predict Instances of my Image, but I dont get any shown.
- Using properly the API
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“Frameworks” for labeling training data (imagery)?
I've used Coco Annotator in a project before, we hosted it on an Azure VM. Really nice tool, can make multiple users, export in generic coco format, use bounding boxes on annotations, etc.
What are some alternatives?
flytesnacks - Flyte Documentation 📖
cvat - Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. [Moved to: https://github.com/cvat-ai/cvat]
Apache ZooKeeper - Apache ZooKeeper
labelImg - LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
Photonix - A modern, web-based photo management server. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, face recognition, location awareness, color analysis and other ML algorithms.
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
Universal Data Tool - Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
mlnotify - 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.
labelImg - LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data. [Moved to: https://github.com/HumanSignal/labelImg]
labelbox-custom-labeling-apps - Explore example custom labeling apps built with Labelbox SDK
alibi-detect - Algorithms for outlier, adversarial and drift detection