Datature
@DatatureAIPowering Breakthrough Vision AI with MLOps.
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Check out our latest tutorial on fine-tuning your own #MoviNet model for video classification. Action recognition offers immense potential across diverse applications - from enhancing safety to optimizing livestream monitoring. What will you create with MoviNet? 👇…
Announcing our platform support for #DFine Model fine-tuning 🫶 Learn how you can quickly label images/videos and fine-tune your own D-FINE model + run image augmentation with @albumentations in less than an hour 👇 datature.io/blog/real-time…
Thanks @gkeechin & @DatatureAI for becoming @albumentations ' Silver sponsor. Appreciate the support for the project. Every dollar counts.
Curious about #YOLO11's potential? We tested its custom training capabilities on crop data and compared it with #YOLOv8! 🌾 Check out the results and step-by-step guide on how you can fine-tune your own YOLOv11 Model → datature.io/blog/yolo11-st…
Thrilled to showcase our technology at #FIRAUSA, marking our debut at this premier agriculture event. This morning, we spoke with visionary roboticists and forward-thinking farmers exploring machine vision solutions for their next #AgTech initiatives. Visit us at Booth D7! 👋
At @DatatureAI we’re excited to announce IntelliMatch — our newest tool, powered by DETR and patch-prompting, designed to speed up annotation by detecting similar objects across scenes! ⚡ Perfect for Medical, Manufacturing, and Agriculture use cases with repetitive objects.…
It's finally in ⚡️ At @DatatureAI, we are thrilled to announce the integration of Meta's Segment Anything Model 2 (SAM-2) into our annotator interface for advanced object segmentation in video #datasets Teams working with video datasets will experience significantly faster…
Datature is excited to announce our latest integration of Segment Anything Model 2.0 into our Annotator Platform ✨ This update will enable all our users to label video datasets 10x faster with fewer clicks and error corrections. Check out some of our other SAM-2 updates in our…
20-Hour Mark Update - Integrated SAM-2 into our annotator interface for object segmentation in video #datasets 🏀 If you have a video dataset that you'd like to expedite labeling and run your model training on, ping me for early access - we could use some feedback on this…
🚀 Introducing @AIatMeta's Segment Anything Model-2.0! This groundbreaking advancement in computer vision supports real-time object segmentation in both images and videos. With new memory mechanisms for consistent segmentation across frames, SAM-2.0 excels in zero-shot…
Exciting news!☝️ @DatatureAI now supports @metaai Segment Anything Model 2 on our platform! Label your #computervision datasets with interactive object segmentation, and accurate results across various domains. Try the Datature Platform → datature.io
@AIatMeta's Segment Anything Model 2.0 (SAM-2.0) is a groundbreaking advancement in computer vision, supporting real-time object segmentation in both images and videos. Here’s an in-depth look at what are the key differences with the previous SAM / 🧵
Our latest blog post dives into the intricacies of fine-tuning #PaliGemma, @GoogleDeepMind 's latest VLM. Our deep dive covers critical challenges like mask encoding for visual tasks and addresses various shortcomings in detail. 👉 datature.io/blog/a-primer-…
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