Upload mitosis-gjs3g from RF100

README.dataset.txt

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+# mitosis > release-640
+https://universe.roboflow.com/roboflow-100/mitosis-gjs3g
+
+Provided by a Roboflow user
+License: CC BY 4.0
+
+This dataset was originally created by [Anonymous](https://universe.roboflow.com/20029-tkmce-ac-in). To see the current project, which may have been updated since this version, [please go here](https://universe.roboflow.com/20029-tkmce-ac-in/mitosis-dwute).
+
+This dataset is part of [RF100](https://rf100.org), an [Intel-sponsored](https://www.intel.com/) initiative to create a new object detection benchmark for model generalizability.
+
+Access the RF100 Github repo: https://github.com/roboflow-ai/roboflow-100-benchmark

README.md

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+---
+license: cc-by-4.0
+task_categories:
+  - object-detection
+tags:
+  - roboflow
+  - roboflow-100
+  - rf100
+  - yolo
+  - libreyolo
+  - microscopic
+  - computer-vision
+  - bounding-box
+pretty_name: "Mitosis Gjs3G"
+size_categories:
+  - 1K<n<10K
+dataset_info:
+  features:
+    - name: image
+      dtype: image
+    - name: label
+      dtype: string
+  splits:
+    - name: train
+      num_examples: 213
+    - name: validation
+      num_examples: 61
+    - name: test
+      num_examples: 30
+---
+
+# Mitosis Gjs3G
+
+This dataset is part of the **Roboflow 100** benchmark, a diverse collection of 100 object detection datasets spanning 7 imagery domains.
+
+## Dataset Description
+
+- **Source:** [Roboflow 100](https://github.com/roboflow/roboflow-100-benchmark)
+- **Category:** Microscopic
+- **License:** CC-BY-4.0
+- **Format:** YOLO (LibreYOLO compatible)
+- **Mirrored on:** 2026-01-21
+
+## Dataset Statistics
+
+| Split | Images |
+|-------|--------|
+| Train | 213 |
+| Validation | 61 |
+| Test | 30 |
+| **Total** | **304** |
+
+## Classes (1)
+
+  - Mitosis
+
+## Usage
+
+### With LibreYOLO
+
+```python
+from libreyolo import LIBREYOLO
+
+# Load a model
+model = LIBREYOLO(model_path="libreyoloXnano.pt")
+
+# Train on this dataset
+model.train(data='path/to/data.yaml', epochs=100)
+```
+
+### Download from HuggingFace
+
+```python
+from huggingface_hub import snapshot_download
+
+# Download the dataset
+snapshot_download(
+    repo_id="Libre-YOLO/mitosis-gjs3g",
+    repo_type="dataset",
+    local_dir="./mitosis-gjs3g"
+)
+```
+
+## Directory Structure
+
+```
+mitosis-gjs3g/
+├── data.yaml           # Dataset configuration
+├── README.md           # This file
+├── train/
+│   ├── images/         # Training images
+│   └── labels/         # Training labels (YOLO format)
+├── valid/
+│   ├── images/         # Validation images
+│   └── labels/         # Validation labels
+└── test/
+    ├── images/         # Test images (if available)
+    └── labels/         # Test labels
+```
+
+## Label Format
+
+Labels are in YOLO format (one `.txt` file per image):
+```
+<class_id> <x_center> <y_center> <width> <height>
+```
+All coordinates are normalized to [0, 1].
+
+## Citation
+
+If you use this dataset, please cite the Roboflow 100 benchmark:
+
+```bibtex
+@misc{rf100_2022,
+    Author = {Floriana Ciaglia and Francesco Saverio Zuppichini and Paul Guerrie and Mark McQuade and Jacob Solawetz},
+    Title = {Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark},
+    Year = {2022},
+    Eprint = {arXiv:2211.13523},
+}
+```
+
+## License
+
+This dataset is released under the **CC-BY-4.0** license. 
+Please check the original source for any additional terms.
+
+## Acknowledgments
+
+- Original dataset from [Roboflow Universe](https://universe.roboflow.com/roboflow-100/mitosis-gjs3g)
+- Part of the [Roboflow 100 Benchmark](https://www.rf100.org/)
+- Sponsored by Intel

README.roboflow.txt

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+
+mitosis - v1 release-640
+==============================
+
+This dataset was exported via roboflow.com on April 3, 2023 at 10:03 PM GMT
+
+Roboflow is an end-to-end computer vision platform that helps you
+* collaborate with your team on computer vision projects
+* collect & organize images
+* understand and search unstructured image data
+* annotate, and create datasets
+* export, train, and deploy computer vision models
+* use active learning to improve your dataset over time
+
+For state of the art Computer Vision training notebooks you can use with this dataset,
+visit https://github.com/roboflow/notebooks
+
+To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
+
+The dataset includes 304 images.
+Mitosis are annotated in YOLOv8 format.
+
+The following pre-processing was applied to each image:
+* Auto-orientation of pixel data (with EXIF-orientation stripping)
+* Resize to 640x640 (Stretch)
+
+No image augmentation techniques were applied.
+
+

data.yaml

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+names:
+- Mitosis
+nc: 1
+path: .
+roboflow:
+  license: CC BY 4.0
+  project: mitosis-gjs3g
+  url: https://universe.roboflow.com/roboflow-100/mitosis-gjs3g/dataset/1
+  version: 1
+  workspace: roboflow-100
+test: test/images
+train: train/images
+val: valid/images

test/labels/image__000--12-_jpg.rf.0c31ee3c14b2489ae4a4eb7320bf0076.txt

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+0 0.47421875 0.10078125 0.05 0.05859375
+0 0.225 0.7484375 0.0625 0.05703125

test/labels/image__000--18-_jpg.rf.828efbe6a8406fac5f3b2031fa2a5697.txt

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+0 0.146875 0.5453125 0.06484375 0.06796875

test/labels/image__000--19-_jpg.rf.f6e63461ade7afc8ceaacf6bc422eba1.txt

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+0 0.60625 0.38828125 0.06796875 0.075

test/labels/image__000--20-_jpg.rf.a68b0ec32a418e26ccd2a3fdcafb42d4.txt

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+0 0.925 0.76484375 0.06484375 0.0765625
+0 0.253125 0.303125 0.09140625 0.0796875

test/labels/image__000--28-_jpg.rf.66f2e2948b75400f4eac116cc2bff8ed.txt

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+0 0.034375 0.975 0.06640625 0.0484375

test/labels/image__000--33-_jpg.rf.aea1cca921d971b03447e5ac3fc90a3d.txt

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+0 0.46171875 0.34140625 0.07109375 0.07734375
+0 0.38046875 0.8796875 0.06875 0.07109375
+0 0.17578125 0.9703125 0.06875 0.05390625

test/labels/image__000--5-_jpg.rf.ebbf38478b8790e00490b00ca2a22884.txt

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+0 0.0171875 0.296875 0.034375 0.040625

test/labels/image__010--11-_jpg.rf.7ab4d9e8592e82d0f37af6706ae8dfcb.txt

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+0 0.09453125 0.5828125 0.0734375 0.08203125

test/labels/image__010--14-_jpg.rf.7f1696de9c20b410cbef7e486fdafa2d.txt

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+0 0.4328125 0.07421875 0.06328125 0.06171875
+0 0.42734375 0.521875 0.053125 0.06015625

test/labels/image__010--20-_jpg.rf.a43b07d9301cec426d4a6dca1248815c.txt

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+0 0.021875 0.82734375 0.04296875 0.05

test/labels/image__010--21-_jpg.rf.4eb0f8feab9fe4bd8f232523b824552b.txt

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+0 0.60078125 0.37421875 0.06796875 0.0890625

test/labels/image__010--21-_jpg.rf.9066f64a43348b08eefc050f84e20c7a.txt

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+0 0.60078125 0.37421875 0.06796875 0.0890625

test/labels/image__010--28-_jpg.rf.99e4aad4a24d6648924044fce26bcd8f.txt

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+0 0.35390625 0.50078125 0.059375 0.0453125
+0 0.59140625 0.58046875 0.0703125 0.059375
+0 0.60703125 0.5015625 0.059375 0.05234375
+0 0.91953125 0.97890625 0.05390625 0.03984375

test/labels/image__010--33-_jpg.rf.e7626c3723feb198170f82da9e8b411b.txt

@@ -0,0 +1 @@
+0 0.103125 0.36640625 0.06171875 0.06171875

test/labels/image__010--36-_jpg.rf.cd93074c7395c89d2cf2cd87c51d0aae.txt

@@ -0,0 +1,2 @@
+0 0.57890625 0.24453125 0.046875 0.06171875
+0 0.16015625 0.93984375 0.04140625 0.05078125

test/labels/image__010--42-_jpg.rf.0506d0fcabb855b8629bb5865a54446a.txt

@@ -0,0 +1 @@
+0 0.8609375 0.171875 0.0796875 0.05859375