Kindly check me out here in Fiverr. www.fiverr.com/s/WEgGqgx
@all #dataannotations

x.com/joshua_obwen...
🔍 I help AI teams boost model accuracy through high-quality data annotation!

If you're working on Computer Vision, NLP, or ML pipelines, check me out—let's build smarter AI together.
📩 DMs open!

#DataAnnotation #AI #MachineLearning #ComputerVision #OpenToWork

www.linkedin.com/posts/joshua...

I'm available to do all your Data Annotation and labeling.

AnyLabeling - an effortless AI-assisted data labeling with AI support from YOLO and Segment Anything (SAM+SAM2) is now available in Galaxy as an Interactive Tool.

https://galaxyproject.org/news/2025-05-15-anylabeling-it/

##UseGalaxy ##NFDI4BioImage ##EOSC ##NFDI

Tanny Chavez et al.: A machine-learning-driven data labeling pipeline for scientific analysis in MLExchange ##XRayScattering##DataLabeling##MachineLearning... ##IUCrhttps://journals.iucr.org/paper?S1600576725002328

We beat one of Googles most famous Datasets!

We just released a new dataset with over 32k images annotated with over 3 Million (!) human responses.

Object detection in AI is transforming industries by enabling machines to identify objects in images/videos. From autonomous vehicles to healthcare, its potential is limitless. Need annotation support?
Let’s connect!
#AI #ObjectDetection #DataAnnotation #MachineLearning #CVProjects

RF-DETR is a real-time object detection model that is the first of its kind to achieve a mean Average Precision (mAP) of over 60 on the COCO dataset. It surpasses YOLO models in both accuracy and speed, and is open-source and commercially usable.

The BOP report of 2024 is out: arxiv.org/abs/2504.02812

BOP is a benchmark for 6D object pose estimation, with a new challenge organised yearly.

Community: Model-based 6D localisation? Pff, easy-peasy. 💪
BOP: Ok. Model-free 6D detection on the datasets below 👇
Community: 🙈 (0 entries submitted)

🔥 Interested in zero-shot 🎯 object detection and segmentation for microscopy images? 🔬🧪🖥️ Don't miss this work from my awesome PhD student @aaitorg.bsky.social, also supervised by the amazing @gomez-mariscal.bsky.social 🤩 #BioimageAnalysis #FoundationModels #DeepLearning

I am excited to share that my first first-author paper, “A General Method for Detection and Segmentation of Terrestrial Arthropods in Images,” is now available on preprint.

If you are interested take a look at my blog (asgersvenning.com/flat-bug/) or consider reading the pre-print (linked below).

💡 I help AI teams with expert data annotation—from object tracking, 3D & text labeling to audio & point cloud annotation.

🛠️ Open to support your project—freelance or internship!

#AI #DataAnnotation #MachineLearning #ComputerVision #AudioLabeling #OpenToWork #ML

How can we improve reproducibility in photonics? 🤲
This question was addressed by our NFDI4BIOIMAGE member Rodrigo Escobar at #ICBP2025. He presented the #LEOplatform, a cloud-based solution that enables #FAIRdata principles in #BiomedicalPhotonics.
👉 Find out more: nfdi4bioimage.de/news/news-de...

Did you know that @nfdi4bioimage.bsky.social publishes an example of an annotated image every month?
This May, find a microscopy image contributed by our partners at NFDI4Biodiversity.
Metadata annotation according to #MIAPPE.
To all of this year's images:
👉 nfdi4bioimage.de/resources-an...

Browsing new data on our lab server while struggling to get my day started, stumbled on this pretty image labeling the locus coeruleus from a mouse 🧠, which felt apropos given the region's powerful effects on arousal and wakefulness. 🧪🔬☀️👩‍🔬

"We should think carefully about the fact that the most influential AI boosters are also the most ruthless higher ed attackers. And if those attacking the educational enterprise understand the dangers of liberatory pedagogy, then we sure as hell need to channel it for social transformation.” 🔥🔥🔥

"A new dataset, visualized as maps, reveals the extent to which African workers are indirectly employed in the tech sector, doing content moderation, customer service, and data annotation for AI models, among other jobs." restofworld.org/2025/big-tec...

African workers labeling data and providing content moderation are the invisible backbone of AI development. They perform critical labor under challenging conditions, often for minimal pay, yet remain absent from our conversations about the AI value chain.

See AI agents in action!

On tomorrow’s Community Call, Joseph Goksu will demo the cloud misconfig agent he rapidly built at our London Hack Night, and @levlaz.org returns to share progress on his autonomous QA agent since our last call.

Watch live on YouTube or X and join the conversation!