parasites Image Dataset
Versions
2023-04-03 2:05pm
v31
Apr 3, 2023
2023-04-03 1:38pm
v30
Apr 3, 2023
2023-03-24 2:40pm
v29
Mar 24, 2023
best version except try
v28
Mar 24, 2023
2023-03-17 5:00pm
v27
Mar 17, 2023
2023-03-17 4:34pm
v26
Mar 17, 2023
2023-03-17 3:30pm
v25
Mar 17, 2023
including ty...
v24
Mar 17, 2023
2023-03-17 11:14am
v23
Mar 17, 2023
2023-03-06 4:02pm
v22
Mar 6, 2023
2023-03-06 3:26pm
v20
Mar 6, 2023
2023-03-06 3:24pm
v19
Mar 6, 2023
2023-03-06 3:20pm
v18
Mar 6, 2023
2023-03-06 3:12pm
v17
Mar 6, 2023
2023-03-06 3:03pm
v16
Mar 6, 2023
2023-03-06 2:52pm
v15
Mar 6, 2023
2023-03-06 12:33pm
v14
Mar 6, 2023
2023-03-06 12:28pm
v13
Mar 6, 2023
2023-03-06 12:25pm
v12
Mar 6, 2023
2023-03-06 12:19pm
v11
Mar 6, 2023
after guide assistance
v10
Mar 6, 2023
2023-02-27 4:10pm
v9
Feb 27, 2023
2023-02-27 2:43pm
v8
Feb 27, 2023
2023-02-27 1:35pm
v7
Feb 27, 2023
last
v6
Feb 24, 2023
2023-02-24 2:45pm
v5
Feb 24, 2023
2023-02-24 12:43pm
v4
Feb 24, 2023
2023-02-24 12:21pm
v3
Feb 24, 2023
2023-02-24 12:15pm
v2
Feb 24, 2023
2023-02-20 4:55pm
v1
Feb 20, 2023
v9
2023-02-27 4:10pm
Generated on Feb 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.
865 Total Images
View All ImagesDataset Split
Train Set 89%
772Images
Valid Set 6%
55Images
Test Set 4%
38Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
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