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