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Emilio R.
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Emilio R.

Data Annotation | Image Annotation | Video Annotation | Bounding Box

I help businesses and AI companies transform visual data into accurate, high-quality annotations that support machine learning and AI development. From image and video annotation to bounding boxes, polygon annotation, object tracking, and semantic segmentation, I deliver precise and consistent results that help build smarter, more reliable AI models. Curious about the services I offer and the tools I use? Keep scrolling! 👇👇👇 💼 SERVICES I OFFER: 🔥 Bounding Boxes Annotation Involves drawing precise rectangular boxes around objects in images to identify and label them. This helps train AI models to accurately detect and recognize objects such as people, vehicles, and other items. 🔥 Polygon Annotation Involves outlining objects in images using multiple connected points to accurately capture their shape and boundaries. This helps train AI models to recognize and segment objects with greater precision. 🔥 Object Tracking Annotation Involves identifying and following objects across multiple video frames while maintaining consistent labels and tracking IDs. This helps train AI models to detect, track, and monitor object movement over time. 🔥 Semantic & Instance Segmentation Annotation Involves labeling every pixel in an image to identify objects and their categories. Semantic segmentation classifies pixels by category, while instance segmentation separates individual objects of the same category. This helps train AI models to understand images with high precision. 🛠 TOOLS I USE: ✅ CVAT ✅ Super Annotate ✅ Label Box ✅ Roboflow ✅ Labelimg ✅ Supervisely ✅ DarwinV7 ✅ Anylabeling 🟢 Think we’re a good match? 📩 Send me a message and let’s talk! 📞 Let me know what time works best for your free discovery call. 😉

🇵🇭Calamba City, Philippines$8/hr100% JSS4.95 (253)Since May 2019
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Earnings and projects

MRR
$108

Last 6 months ÷ 6

World#132,848 / 412k
🇵🇭Country#21,942 / 56.3k
Revenue, last 30 days
$0

Last 6 months: $647

Total earnings
$77k

Billed in all: $80k

World#51,469 / 412k
🇵🇭Country#7,361 / 56.3k
Per project
$238

$34 in the last 6 months

World#251,107 / 412k
🇵🇭Country#33,253 / 56.3k
Projects, last 6 months
19
63% fixed37% hourly
World#6,608 / 412k
🇵🇭Country#207 / 56.3k
Projects in all
325

Across 333 contracts

70% fixed30% hourly
World#4,183 / 412k
🇵🇭Country#168 / 56.3k

Earnings, last 30 days

$79.5kNothing earned in the last 30 daysBilled in all, before Upwork's fee · drag across the chart to see what was earned in any stretch
$78k$79k$80k$81kOct 8Oct 23Nov 7

Skill rankings: Top 39% in Annotated Screenshot

Ranked by MRR among everyone on Upwork with the skill.

  1. #17SuperAnnotate25 freelancers · 🇵🇭 #7Top 68%
  2. #20Object Tracking36 freelancers · 🇵🇭 #3Top 56%
  3. #21LabelImg37 freelancers · 🇵🇭 #11Top 57%
  4. #27Semantic Segmentation60 freelancers · 🇵🇭 #5Top 45%
  5. #52Annotated Screenshot132 freelancers · 🇵🇭 #10Top 39%
  6. #55Labelbox102 freelancers · 🇵🇭 #15Top 54%
  7. #59Object Detection & Tracking126 freelancers · 🇵🇭 #1Top 47%
  8. #65Roboflow98 freelancers · 🇵🇭 #18Top 66%