MH-Detection Image Dataset
Versions
2024-02-11 10:08pm
v32
Feb 11, 2024
2024-02-11 12:16pm
v31
Feb 11, 2024
2024-02-11 11:46am
v30
Feb 11, 2024
2024-02-11 10:54am
v29
Feb 11, 2024
2024-02-11 9:37am
v28
Feb 11, 2024
2024-02-11 5:04am
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Feb 10, 2024
2024-02-11 4:46am
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Feb 10, 2024
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Feb 10, 2024
2024-02-10 8:26am
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v22
Feb 9, 2024
2024-02-08 7:54pm
v21
Feb 8, 2024
2024-02-08 7:44pm
v20
Feb 8, 2024
2024-02-08 12:40pm
v19
Feb 8, 2024
2024-02-08 1:48am
v18
Feb 7, 2024
2024-02-07 5:17am
v17
Feb 6, 2024
2024-02-06 10:02pm
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Feb 6, 2024
2024-02-05 10:51pm
v15
Feb 5, 2024
2024-02-04 9:52am
v14
Feb 4, 2024
2024-02-03 9:06am
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Feb 3, 2024
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Feb 3, 2024
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v11
Dec 2, 2023
2023-12-02 9:53am
v10
Dec 2, 2023
2023-12-02 9:12am
v9
Dec 2, 2023
2023-11-29 5:55am
v8
Nov 28, 2023
2023-11-27 11:46am
v7
Nov 27, 2023
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v6
Nov 27, 2023
2023-11-26 5:24pm
v5
Nov 26, 2023
2023-11-26 5:11pm
v4
Nov 26, 2023
2023-11-20 7:16am
v3
Nov 19, 2023
2023-11-18 2:23pm
v2
Nov 18, 2023
2023-11-18 7:28am
v1
Nov 17, 2023
v18
2024-02-08 1:48am
Generated on Feb 7, 2024
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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.
Other Formats
Choose another format.
1029 Total Images
View All Images
Dataset Split
Train Set 76%
779Images
Valid Set 14%
140Images
Test Set 11%
110Images
Preprocessing
Resize: Fit within 640x480
Augmentations
No augmentations were applied.
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