c-elegan detection Dataset
Versions
2024-07-03 8:04am
v12
· 3 months ago
2024-07-03 8:03am
v11
· 3 months ago
2024-07-02 4:02pm
v10
· 3 months ago
2024-07-02 3:59pm
v9
· 3 months ago
2023-06-29 1:14pm
v8
· a year ago
2023-06-29 1:17am
v7
· a year ago
2023-06-28 9:15pm
v6
· a year ago
2023-06-28 11:22am
v5
· a year ago
2023-06-27 11:50am
v4
· a year ago
2023-06-27 10:59am
v3
· a year ago
2023-06-22 10:05pm
v1
· a year ago
v10
2024-07-02 4:02pm
Generated on Jul 2, 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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167 Total Images
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Dataset Split
Train Set %
0Images
Valid Set %
0Images
Test Set 100%
167Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 2
Flip: Horizontal