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final_tr_um

Object Detection

final_tr_um Image Dataset

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Versions
394images_2024-06-19 6-27am
v67
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10 days ago
aug_7times_2024-06-18 6-15am
v66
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11 days ago
aug_3times_2024-06-18 6-06am
v60
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11 days ago
394umages_2024-06-18 5-30am
v55
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11 days ago
112epoch_3times_Aug_2024-06-16 5-26pm
v52
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13 days ago
aaug_3times_2024-06-16 3-44pm
v49
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13 days ago
45epochs_2024-06-16 3-07pm
v48
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13 days ago
100epochs_2024-06-16 2-44pm
v47
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13 days ago
v9_5times_25epochs_2024-06-16 6-33am
v46
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13 days ago
v9_aug_40epochs_2024-06-16 6-24am
v41
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13 days ago
v9_aug_30epochs_2024-06-16 6-04am
v40
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13 days ago
v8_28epochsbestt_2024-06-15 9-03am
v36
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14 days ago
v9_36epochs2024-06-15 8-39am
v35
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14 days ago
V9_34epochsbestt_2024-06-15 7-49am
v34
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14 days ago
v9_36epochs_2024-06-15 7-10am
v33
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14 days ago
v8_2024-06-14 8-42pm
v32
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15 days ago
v9_2024-06-14 8-42pm
v31
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15 days ago
v8_2024-06-14 8-21pm
v27
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15 days ago
v9_45_2024-06-14 8-21pm
v26
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15 days ago
v8_25_bestresults_2024-06-14 8-20pm
v25
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15 days ago
v9_40_2024-06-14 8-17pm
v24
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15 days ago
v9_aug_horflip_530images_2024-06-13 8-43am
v20
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16 days ago
v9_hf_90rotatetop2_903times_2024-06-13 7-45am
v9
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16 days ago
v8_394images_2024-06-13 7-04am
v8
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16 days ago
v9_394images_2024-06-13 7-03am
v7
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16 days ago
2024-06-13 7:02am
v6
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16 days ago
v9_402images_2024-06-13 6-08am
v5
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16 days ago
v9_2024-06-12 11-51pm
v3
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17 days ago
2024-06-12 11:13pm
v2
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17 days ago
2024-06-12 10:42pm
v1
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17 days ago
v40

v9_aug_30epochs_2024-06-16 6-04am

Generated on Jun 16, 2024
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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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804 Total Images

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Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image

Dataset Split

Train Set 79%
634Images
Valid Set 11%
88Images
Test Set 10%
82Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise