This repository, Labellerr Notebooks, offers a growing collection of latest tutorials and notebooks related to AI Agents, computer vision, LLMs, and AI from Labellerr. Dive in to explore the exciting world of AI-powered vision for tasks ranging from object detection and segmentation to robust object tracking and OCR.
Here you'll find a curated collection of notebooks for state-of-the-art computer vision models, categorized by their primary task.
| Model | Jupyter Notebook | Complementary | Repository / Paper |
|---|---|---|---|
| YOLO-NAS |  |
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| YOLOv11 | |
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| YOLOv12 | |
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| RT-DETR V1 and V2 | |
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| Florence 2 | |
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| OWL v2 | |
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| Model | Jupyter Notebook | Complementary | Repository / Paper |
|---|---|---|---|
| SAM 2 | |
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| Grounding DINO + SAM | |
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| Mask2Former | |
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| SegFormer | |
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| SegGPT | |
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| Florence 2 | |
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| Model | Jupyter Notebook | Complementary | Repository / Paper |
|---|---|---|---|
| ByteTrack | |
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| BotSORT | |
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| DeepSORT | |
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| FairMOT | |
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| StrongSORT | - | |
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| Model | Jupyter Notebook | Complementary | Repository / Paper |
|---|---|---|---|
| Mistral OCR | |
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| Matching Anything by Segmenting Anything | - | |
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We try to make it as easy as possible to run Labellerr Notebooks in Colab and Kaggle, but if you still want to run them locally, below you will find instructions on how to do it. Remember don't install your dependencies globally, use venv.