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Material Counter

Object Detection

Material Counter Image Dataset

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Versions
2024-01-03 2:56pm
v16
Jan 3, 2024
2024-01-03 11:13am
v15
Jan 3, 2024
2024-01-02 9:45am
v14
Jan 2, 2024
2023-12-20 2:38pm
v13
Dec 20, 2023
2023-12-20 2:37pm
v12
Dec 20, 2023
2023-12-20 2:10pm
v11
Dec 20, 2023
2023-12-20 12:13pm
v10
Dec 20, 2023
2023-12-20 12:12pm
v9
Dec 20, 2023
2023-12-20 12:05pm
v8
Dec 20, 2023
2023-12-20 12:02pm
v7
Dec 20, 2023
2023-12-20 11:59am
v6
Dec 20, 2023
2023-12-20 11:59am
v5
Dec 20, 2023
2023-12-20 11:58am
v4
Dec 20, 2023
2023-12-20 11:55am
v3
Dec 20, 2023
2023-12-20 11:54am
v2
Dec 20, 2023
2023-12-20 11:42am
v1
Dec 20, 2023
v16

2024-01-03 2:56pm

Generated on Jan 3, 2024
Download Dataset

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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1572 Total Images

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Dataset Split

Train Set 86%
1356Images
Valid Set 9%
140Images
Test Set 5%
76Images

Preprocessing

Auto-Orient: Applied
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Brightness: Between -25% and +25%
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Noise: Up to 0.73% of pixels