Model_Investigation Image Dataset
Versions
2023-07-18 9:47am
v12
Jul 18, 2023
2023-07-04 9:58am
v11
Jul 4, 2023
2023-06-28 4:14pm
v10
Jun 28, 2023
2023-06-28 2:31pm
v9
Jun 28, 2023
2023-06-28 2:26pm
v8
Jun 28, 2023
2023-06-28 10:43am
v7
Jun 28, 2023
2023-06-28 10:30am
v6
Jun 28, 2023
2023-06-27 4:04pm
v5
Jun 27, 2023
2023-06-27 10:18am
v4
Jun 27, 2023
2023-06-27 10:15am
v3
Jun 27, 2023
2023-06-25 8:47pm
v2
Jun 25, 2023
2023-06-19 11:52am
v1
Jun 19, 2023
v5
2023-06-27 4:04pm
Generated on Jun 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.
4396 Total Images
View All Images
Dataset Split
Train Set 86%
3768Images
Valid Set 8%
348Images
Test Set 6%
280Images
Preprocessing
Isolate Objects: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Blur: Up to 6.25px
Noise: Up to 1% of pixels
Bounding Box: Blur: Up to 2.5px
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