Screw Head,Body detection Image Dataset
Versions
2024-03-30 7:08am
v9
Mar 30, 2024
2024-03-09 10:52am
v8
Mar 9, 2024
2024-03-09 6:30am
v7
Mar 9, 2024
2024-01-04 5:48pm
v6
Jan 4, 2024
2024-01-04 5:45pm
v5
Jan 4, 2024
2024-01-03 5:26pm
v4
Jan 3, 2024
2023-11-20 8:59pm
v3
Nov 20, 2023
2023-11-20 8:58pm
v2
Nov 20, 2023
2023-09-16 6:58pm
v1
Sep 16, 2023
v6
2024-01-04 5:48pm
Generated on Jan 4, 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.
7816 Total Images
View All Images
Dataset Split
Train Set 93%
7302Images
Valid Set 6%
438Images
Test Set 1%
76Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Hue: Between -29° and +29°
Saturation: Between -27% and +27%
Brightness: Between -31% and +31%
Exposure: Between -9% and +9%
Blur: Up to 0.8px
Noise: Up to 1.53% of pixels
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