Politeknik Negeri Padang

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deteksi sampah

Object Detection

deteksi sampah Image Dataset

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Versions
2023-12-08 10:28am
v7
Dec 8, 2023
2023-12-05 9:33pm
v6
Dec 5, 2023
2023-11-26 6:12am
v5
Nov 25, 2023
2023-09-14 2:38pm
v4
Sep 14, 2023
2023-09-13 2:08pm
v3
Sep 13, 2023
2023-08-30 11:31pm
v2
Aug 30, 2023
2023-07-25 2:39pm
v1
Jul 25, 2023
v5

2023-11-26 6:12am

Generated on Nov 25, 2023
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Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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1498 Total Images

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Dataset Split

Train Set 87%
1296Images
Valid Set 9%
130Images
Test Set 5%
72Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Bounding Box: Flip: Horizontal
Bounding Box: Brightness: Between -60% and +60%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Noise: Up to 2% of pixels