Tsetse Dataset
Versions
2024-09-25 1:01pm
v43
· 4 days ago
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v42
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v41
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v40
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v39
· 4 days ago
2024-09-25 8:59am
v38
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2024-09-17 7:34am
v37
· 12 days ago
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v36
· 12 days ago
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v35
· 12 days ago
2024-09-04 1:16pm
v34
· 25 days ago
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v33
· 25 days ago
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v32
· 25 days ago
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v31
· 25 days ago
2024-09-04 5:06am
v30
· 25 days ago
2024-09-03 12:59pm
v29
· a month ago
2024-09-03 10:33am
v28
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2024-09-02 8:54am
v27
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v26
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2024-08-29 7:34am
v25
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v24
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v23
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2024-08-26 11:59am
v22
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v21
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v20
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v19
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v18
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v17
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v16
· a month ago
2024-07-16 7:47am
v15
· 2 months ago
2024-07-15 1:40pm
v14
· 2 months ago
2024-07-15 8:25am
v13
· 2 months ago
2024-06-28 11:37am
v12
· 3 months ago
2024-06-26 7:06am
v11
· 3 months ago
2024-06-24 1:02pm
v10
· 3 months ago
2024-06-24 12:40pm
v9
· 3 months ago
2024-06-24 11:38am
v8
· 3 months ago
2024-06-24 8:42am
v7
· 3 months ago
2024-06-24 8:17am
v6
· 3 months ago
2024-06-24 8:01am
v5
· 3 months ago
2024-06-21 5:06am
v4
· 3 months ago
2024-06-20 8:59am
v3
· 3 months ago
2024-06-12 6:08am
v2
· 4 months ago
2024-06-12 1:55am
v1
· 4 months ago
v29
2024-09-03 12:59pm
Generated on Sep 3, 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.
540 Total Images
View All Images
Dataset Split
Train Set 80%
434Images
Valid Set 13%
72Images
Test Set 6%
34Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal