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--- |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: split |
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dtype: string |
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- name: bboxes |
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list: |
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list: float64 |
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- name: labels |
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list: int64 |
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splits: |
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- name: train |
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num_bytes: 35419499 |
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num_examples: 150 |
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- name: val |
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num_bytes: 9066986 |
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num_examples: 40 |
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- name: test |
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num_bytes: 9666104 |
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num_examples: 40 |
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download_size: 54148967 |
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dataset_size: 54152589 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: val |
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path: data/val-* |
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- split: test |
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path: data/test-* |
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task_categories: |
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- object-detection |
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tags: |
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- yolo |
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- finance |
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- trading |
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- charts |
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- object-detection |
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- chart-object-detection |
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- financial-chart |
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- financial-chart-analysis |
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- financial-charts |
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- financial-charts-analysis |
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license: apache-2.0 |
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pretty_name: Chart Info YOLO |
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size_categories: |
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- n<1K |
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language: |
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- en |
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--- |
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# Chart Info YOLO Dataset |
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This dataset contains annotated screenshots of financial charts (e.g. TradingView), formatted for object detection. |
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It’s designed to train small YOLO models that detect UI elements used for downstream OCR: |
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- `0 = symbol_title` — the title block with the ticker and name at the top of the chart |
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- `1 = last_price_pill` — the rounded price pill on the right-side price axis (current/last price) |
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## Structure |
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The dataset is provided in the classic YOLO structure: |
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``` |
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images/ |
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train/*.png |
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val/*.png |
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test/*.png |
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labels/ |
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train/*.txt |
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val/*.txt |
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test/*.txt |
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data.yml |
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``` |
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### Images |
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In the images directory you will find the chart images which is a sample from https://huggingface.co/datasets/StephanAkkerman/stock-charts. |
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### Labels |
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The labels directory provides the bounding boxes for the symbol title and last price pill for each chart. |
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``` |
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<class_id> <x_center> <y_center> <width> <height> |
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``` |
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All coordinates are normalized to [0, 1]. |
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Some charts are unlabeled as I have only focused on TradingView charts for the labeling. |
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### Example |
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The following image is an example of what a labeled chart looks like. |
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## Usage |
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Use the following example to download the dataset to use for YOLO model training. |
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```python |
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from huggingface_hub import snapshot_download |
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snapshot_download( |
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repo_id="StephanAkkerman/chart-info-yolo", |
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repo_type="dataset", |
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local_dir="datasets/tradingview", |
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local_dir_use_symlinks=False, |
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) |
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``` |
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After this you need to refer to the data.yml path for the training and then it works. |
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```bash |
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yolo detect train model=yolo12n.pt data=datasets/tradingview/data.yaml imgsz=1792 epochs=80 |
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``` |
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## Intended use |
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This dataset is built to support: |
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- detecting chart UI elements (symbol_title, last_price_pill) |
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- cropping them for OCR (e.g. PaddleOCR) to extract ticker, name, and current price |
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Contributions (extra chart sources, more UI element classes) are welcome. |
