c.elegans Dataset
Versions
2024-09-24 4:15am
v10
· 3 hours ago
2024-09-23 9:42pm
v9
· 10 hours ago
2024-09-23 9:42pm
v8
· 10 hours ago
2024-09-23 9:39pm
v7
· 10 hours ago
2024-09-23 6:15pm
v6
· 13 hours ago
2024-09-23 6:10pm
v5
· 13 hours ago
2024-09-23 6:05pm
v4
· 13 hours ago
2024-09-23 5:59pm
v3
· 13 hours ago
2024-09-23 5:49pm
v2
· 14 hours ago
2024-09-23 5:29pm
v1
· 14 hours ago
v5
2024-09-23 6:10pm
Generated on Sep 23, 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.
1008 Total Images
View All Images
Dataset Split
Train Set 86%
864Images
Valid Set 8%
80Images
Test Set 6%
64Images
Preprocessing
Auto-Orient: Applied
Tile: 4 rows x 4 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -25% and +25%