Crate detection Image Dataset
Versions
2023-04-11 4:32pm
v11
Apr 11, 2023
2023-04-11 2:13pm
v10
Apr 11, 2023
2023-04-11 1:58pm
v9
Apr 11, 2023
2023-04-11 1:15pm
v8
Apr 11, 2023
2023-04-03 4:39pm
v7
Apr 3, 2023
2023-04-03 4:07pm
v6
Apr 3, 2023
2023-03-27 12:58pm
v5
Mar 27, 2023
2023-03-27 12:28pm
v4
Mar 27, 2023
2023-03-27 10:59am
v3
Mar 27, 2023
2023-03-24 12:15pm
v2
Mar 24, 2023
2023-03-24 11:51am
v1
Mar 24, 2023
v5
2023-03-27 12:58pm
Generated on Mar 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
Choose another format.
167 Total Images
View All Images
Dataset Split
Train Set 86%
144Images
Valid Set 8%
13Images
Test Set 6%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±20° Horizontal, ±20° Vertical
Hue: Between -180° and +180°
Cutout: 5 boxes with 20% size each
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