machinery detection Image Dataset
Versions
2023-10-27 10:52am
v10
Oct 27, 2023
2023-10-27 10:50am
v9
Oct 27, 2023
2023-10-26 5:01pm
v8
Oct 26, 2023
2023-10-26 4:44pm
v7
Oct 26, 2023
2023-09-08 4:19pm
v6
Sep 8, 2023
2023-09-08 3:38pm
v5
Sep 8, 2023
2023-09-06 6:23pm
v3
Sep 6, 2023
2023-09-06 4:28pm
v2
Sep 6, 2023
2023-09-06 3:12pm
v1
Sep 6, 2023
v10
2023-10-27 10:52am
Generated on Oct 27, 2023
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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273 Total Images
View All Images
Dataset Split
Train Set 88%
240Images
Valid Set 8%
22Images
Test Set 4%
11Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1280x1280
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±9° Horizontal, ±23° Vertical
Saturation: Between -50% and +50%
Brightness: Between -14% and +14%
Exposure: Between -10% and +10%
Blur: Up to 1.25px
Noise: Up to 1% of pixels
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