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Object Detection

Object Detection

Object Detection Image Dataset

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Versions
2023-10-02 12:24pm
v31
Oct 2, 2023
2023-09-30 7:10pm
v30
Sep 30, 2023
2023-09-13 8:37am
v28
Sep 13, 2023
2023-09-07 3:56pm
v27
Sep 7, 2023
2023-09-07 3:41pm
v26
Sep 7, 2023
2023-09-07 2:08pm
v25
Sep 7, 2023
2023-09-07 2:08pm
v24
Sep 7, 2023
2023-09-07 2:06pm
v23
Sep 7, 2023
2023-09-07 2:05pm
v22
Sep 7, 2023
2023-09-07 2:05pm
v21
Sep 7, 2023
2023-09-07 2:04pm
v20
Sep 7, 2023
2023-09-07 2:03pm
v19
Sep 7, 2023
2023-09-07 2:00pm
v18
Sep 7, 2023
2023-09-04 9:01pm
v16
Sep 4, 2023
2023-08-31 1:06pm
v10
Aug 31, 2023
2023-08-24 1:23pm
v9
Aug 24, 2023
2023-08-22 1:22pm
v8
Aug 22, 2023
2023-08-22 12:42pm
v7
Aug 22, 2023
2023-08-19 8:44pm
v6
Aug 19, 2023
2023-08-16 4:05pm
v5
Aug 16, 2023
2023-08-15 10:19pm
v4
Aug 15, 2023
2023-08-13 4:28pm
v3
Aug 13, 2023
2023-08-06 2:30pm
v2
Aug 6, 2023
2023-08-06 1:29pm
v1
Aug 6, 2023
v28

2023-09-13 8:37am

Generated on Sep 13, 2023
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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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1000 Total Images

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Dataset Split

Train Set 70%
700Images
Valid Set 20%
200Images
Test Set 10%
100Images

Preprocessing

Modify Classes: 1 remapped, 0 dropped

Augmentations

No augmentations were applied.