table Image Dataset
Versions
2024-04-15 11:41am
v11
Apr 15, 2024
2024-04-15 11:00am
v10
Apr 15, 2024
2024-04-13 4:15pm
v9
Apr 13, 2024
2024-04-13 4:07pm
v8
Apr 13, 2024
2024-04-13 12:31pm
v7
Apr 13, 2024
2024-04-12 5:26pm
v6
Apr 12, 2024
2024-04-12 4:50pm
v5
Apr 12, 2024
2024-04-12 3:22pm
v4
Apr 12, 2024
2024-04-12 2:00pm
v3
Apr 12, 2024
2024-04-11 3:10pm
v2
Apr 11, 2024
v10
2024-04-15 11:00am
Generated on Apr 15, 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.
800 Total Images
View All Images
Dataset Split
Train Set 75%
600Images
Valid Set 25%
200Images
Test Set %
0Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Grayscale: Apply to 5% of images
Hue: Between -9° and +9°
Saturation: Between -4% and +4%
Brightness: Between -1% and +1%
Exposure: Between -3% and +3%
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