cranehook Image Dataset
Versions
2022-05-30 1:55pm
v9
May 30, 2022
2022-05-30 1:51pm
v8
May 30, 2022
2022-05-26 10:50am
v7
May 26, 2022
2022-05-24 8:49am
v6
May 23, 2022
2022-05-24 8:29am
v5
May 23, 2022
2022-05-21 4:35pm
v4
May 21, 2022
2022-05-20 10:40pm
v3
May 20, 2022
2022-05-20 4:23pm
v2
May 20, 2022
2022-05-20 2:04pm
v1
May 20, 2022
v1
2022-05-20 2:04pm
Generated on May 20, 2022
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.
46 Total Images
View All Images
Dataset Split
Train Set 85%
39Images
Valid Set 7%
3Images
Test Set 9%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels
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