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README.md
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---
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task_categories:
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- image-classification
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---
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# Dataset for project: csgo-weapon-classification
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## Dataset Description
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This dataset has for project csgo-weapon-classification was collected with the help of a bulk google image downloader.
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### Languages
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The BCP-47 code for the dataset's language is unk.
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## Dataset Structure
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### Data Instances
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A sample from this dataset looks as follows:
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```json
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[
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{
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"image": "<1768x718 RGB PIL image>",
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"target": 0
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},
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{
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"image": "<716x375 RGBA PIL image>",
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"target": 0
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}
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]
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```
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### Dataset Fields
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The dataset has the following fields (also called "features"):
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```json
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{
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"image": "Image(decode=True, id=None)",
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"target": "ClassLabel(names=['AK-47', 'AWP', 'Famas', 'Galil-AR', 'Glock', 'M4A1', 'M4A4', 'P-90', 'SG-553', 'UMP', 'USP'], id=None)"
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}
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```
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### Dataset Splits
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This dataset is split into a train and validation split. The split sizes are as follow:
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| Split name | Num samples |
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| ------------ | ------------------- |
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| train | 1100 |
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| valid | 275 |
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