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FH1

Object Detection

FH1 Image Dataset

Versions
2024-05-03 3:01pm
v20
May 3, 2024
2022-05-10 10:47pm
v19
May 10, 2022
2022-05-10 10:40pm
v18
May 10, 2022
2022-05-10 8:06pm
v17
May 10, 2022
2022-05-08 7:41pm
v12
May 8, 2022
2022-05-08 3:35pm
v11
May 8, 2022
2022-05-07 3:53pm
v10
May 7, 2022
2022-05-07 3:39pm
v9
May 7, 2022
2022-04-17 3:34pm
v8
Apr 17, 2022
2022-04-17 3:15pm
v7
Apr 17, 2022
2022-04-17 2:48pm
v6
Apr 17, 2022
2022-04-16 12:41pm
v5
Apr 16, 2022
2022-04-14 8:38pm
v4
Apr 14, 2022
2022-04-14 7:33pm
v3
Apr 14, 2022
2022-04-13 11:14pm
v2
Apr 13, 2022
sachen
v1
Apr 13, 2022
v20

2024-05-03 3:01pm

Generated on May 3, 2024
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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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4259 Total Images

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Dataset Split

Train Set 80%
3426Images
Valid Set 14%
592Images
Test Set 6%
241Images

Preprocessing

Modify Classes: 63 remapped, 1 dropped

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -28° and +28°
Grayscale: Apply to 25% of images
Saturation: Between -38% and +38%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Mosaic: Applied
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Blur: Up to 5px