akgida_kashkaval_cheese_v1 Image Dataset
Versions
2024-04-25 11:49pm
v13
Apr 25, 2024
2024-04-25 11:23pm
v12
Apr 25, 2024
2024-04-25 11:09pm
v11
Apr 25, 2024
2024-04-24 9:24am
v10
Apr 24, 2024
2024-04-22 2:39pm
v9
Apr 22, 2024
2024-04-17 9:49am
v8
Apr 17, 2024
2024-04-17 9:44am
v7
Apr 17, 2024
2024-04-17 9:38am
v6
Apr 17, 2024
2024-04-16 11:30am
v3
Apr 16, 2024
v13
2024-04-25 11:49pm
Generated on Apr 25, 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.
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3064 Total Images
View All Images
Dataset Split
Train Set 100%
3064Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 2
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -5° and +5°
Brightness: Between -7% and +7%
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