ajout données 1st run

.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.jpg filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1,33 @@
+# Environnement virtuel
+env/
+venv/
+.env
+.venv/
+bin/
+etc/
+share/
+log/
+lib64
+pyvenv.cfg
+
+# Python
+__pycache__/
+*.py[cod]
+*.pyo
+pyproject.toml
+uv.lock
+
+# IDE
+.vscode/
+.idea/
+lib/
+lib64/
+
+#git
+.git
+.gitattributes
+
+#website
+generated_html/
+annotations/
+dataset/

README.md

@@ -1,3 +1,21 @@
 ---
-license: cc-by-4.0
+pretty_name: GenHisDoc
+repos:
+  - repo: https://github.com/Anarchiviste/GenHisDoc_Lab/tree/main
+language:
+  - en
+  - fr
+tags:
+  - computer vision
+  - historical documents
+  - detection
+  - python
+license: cc-by-nc-sa-4.0
 ---
+#  Models trained on GenHisDoc 
+
+[the GenHisDoc dataset is on Huggin Face](https://huggingface.co/datasets/Anarchiviste/GenHisDoc_dataset/tree/main)
+
+GenHisDoc is a generalistic datasets for historical documents layout recognition and detection. GenHisDoc use a combination of several previously published datasets which have been adapted and re-annotated to work together and our own annotated data. All embedded datasets are licensed under Creative Commons or other licenses that permit reuse.
+
+This repository contains the different models and training metrics on different versions of GenHisDoc. Every directory is a model with the weights, the test run and an info.yaml with information about the parameters used.

yolov8l-17-07-2026/train/args.yaml

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+task: detect
+mode: train
+model: yolov8l.pt
+data: data.yaml
+epochs: 100
+time: null
+patience: 100
+batch: 16
+imgsz: 640
+save: true
+save_period: -1
+cache: false
+device: ''
+workers: 8
+project: null
+name: train
+exist_ok: false
+pretrained: true
+cls_remap: true
+optimizer: auto
+verbose: true
+seed: 0
+deterministic: true
+single_cls: false
+rect: false
+cos_lr: false
+close_mosaic: 10
+resume: false
+amp: true
+fraction: 1.0
+profile: false
+freeze: null
+multi_scale: 0.0
+compile: false
+overlap_mask: true
+mask_ratio: 4
+dropout: 0.0
+val: true
+split: val
+save_json: false
+conf: null
+iou: 0.7
+max_det: 300
+quantize: null
+dnn: false
+plots: true
+end2end: null
+source: null
+vid_stride: 1
+stream_buffer: false
+visualize: false
+augment: false
+agnostic_nms: false
+classes: null
+retina_masks: false
+embed: null
+show: false
+save_frames: false
+save_txt: false
+save_conf: false
+save_crop: false
+show_labels: true
+show_conf: true
+show_boxes: true
+line_width: null
+format: torchscript
+keras: false
+optimize: false
+dynamic: false
+simplify: true
+opset: null
+workspace: null
+nms: false
+lr0: 0.01
+lrf: 0.01
+momentum: 0.937
+weight_decay: 0.0005
+warmup_epochs: 3.0
+warmup_momentum: 0.8
+warmup_bias_lr: 0.1
+distill_model: null
+dis: 6.0
+box: 7.5
+cls: 0.5
+cls_pw: 0.0
+dfl: 1.5
+pose: 12.0
+kobj: 1.0
+rle: 1.0
+angle: 1.0
+nbs: 64
+hsv_h: 0.015
+hsv_s: 0.7
+hsv_v: 0.4
+degrees: 0.0
+translate: 0.1
+scale: 0.5
+shear: 0.0
+perspective: 0.0
+flipud: 0.0
+fliplr: 0.5
+bgr: 0.0
+mosaic: 1.0
+mixup: 0.0
+cutmix: 0.0
+copy_paste: 0.0
+copy_paste_mode: flip
+auto_augment: randaugment
+erasing: 0.4
+cfg: null
+tracker: tracktrack.yaml
+save_dir: /home/jules/GenHisDoc_dataset/runs/detect/train

yolov8l-17-07-2026/train/info.yaml

@@ -0,0 +1,4 @@
+model : "yolo V8 Large"
+epoch : "100"
+img_size : "640x640"
+dataset : "GenHisDoc_dataset"

yolov8l-17-07-2026/train/results.csv

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