Mark-3 Image Dataset
Versions
2023-04-06 2:16pm
v16
Apr 6, 2023
2023-03-31 9:52am
v15
Mar 31, 2023
2023-03-31 9:47am
v14
Mar 31, 2023
2023-03-31 5:33am
v13
Mar 31, 2023
2023-03-30 11:32pm
v12
Mar 30, 2023
2023-03-30 11:00pm
v11
Mar 30, 2023
2023-03-30 9:53pm
v10
Mar 30, 2023
2023-03-30 1:18pm
v9
Mar 30, 2023
2023-03-30 11:25am
v8
Mar 30, 2023
2023-03-28 4:39pm
v7
Mar 28, 2023
2023-03-28 4:38pm
v6
Mar 28, 2023
2023-03-28 4:38pm
v5
Mar 28, 2023
2023-03-28 4:38pm
v4
Mar 28, 2023
2023-03-28 4:38pm
v3
Mar 28, 2023
2023-03-28 4:38pm
v2
Mar 28, 2023
2023-03-28 4:37pm
v1
Mar 28, 2023
v16
2023-04-06 2:16pm
Generated on Apr 6, 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.
501 Total Images
View All Images
Dataset Split
Train Set 89%
447Images
Valid Set 11%
54Images
Test Set %
0Images
Preprocessing
Resize: Stretch to 460x460
Augmentations
Outputs per training example: 2
Brightness: Between -13% and +13%
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