Metal Sheet A55 Cam 3 Image Dataset
Versions
2024-06-11 7:15pm
v29
Jun 11, 2024
2024-06-10 7:26pm
v28
Jun 10, 2024
2024-06-10 7:22pm
v27
Jun 10, 2024
2024-06-04 7:40pm
v26
Jun 4, 2024
2024-06-04 11:33am
v25
Jun 4, 2024
2024-06-04 11:30am
v24
Jun 4, 2024
2024-05-29 1:12pm
v23
May 29, 2024
2024-05-28 11:33pm
v22
May 28, 2024
2024-05-28 10:11pm
v21
May 28, 2024
2024-05-28 10:02pm
v20
May 28, 2024
2024-05-28 8:40pm
v19
May 28, 2024
2024-05-28 7:22pm
v18
May 28, 2024
2024-05-28 5:10pm
v17
May 28, 2024
2024-05-28 4:14pm
v16
May 28, 2024
2024-05-28 1:58pm
v15
May 28, 2024
2024-05-28 10:45am
v14
May 28, 2024
2024-05-27 7:28pm
v13
May 27, 2024
2024-05-27 8:52am
v12
May 27, 2024
2024-05-25 4:40pm
v11
May 25, 2024
2024-05-25 4:02pm
v10
May 25, 2024
2024-05-25 3:30pm
v9
May 25, 2024
2024-05-25 11:24am
v8
May 25, 2024
2024-05-25 10:17am
v7
May 25, 2024
2024-05-25 10:16am
v6
May 25, 2024
2024-05-24 4:37pm
v5
May 24, 2024
2024-05-23 1:26pm
v4
May 23, 2024
2024-05-23 1:04pm
v3
May 23, 2024
2024-05-22 8:12pm
v2
May 22, 2024
2024-05-22 8:01pm
v1
May 22, 2024
v29
2024-06-11 7:15pm
Generated on Jun 11, 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
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1119 Total Images
View All ImagesDataset Split
Train Set 100%
1119Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 256x256
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
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