Dataset Versions
Versions
2022-08-19 2:17am
v25
· 2 years ago
2022-08-15 5:40pm
v24
· 2 years ago
2022-08-06 10:29pm
v23
· 2 years ago
2022-08-06 10:13pm
v22
· 2 years ago
2022-08-01 12:49am
v21
· 2 years ago
2022-07-31 12:21am
v20
· 2 years ago
2022-07-20 2:49pm
v19
· 2 years ago
2022-07-07 6:46pm
v18
· 2 years ago
2022-07-07 6:43pm
v17
· 2 years ago
2022-07-07 2:25pm
v16
· 2 years ago
2022-07-07 2:13pm
v15
· 2 years ago
2022-07-07 2:10pm
v14
· 2 years ago
2022-07-07 2:08pm
v13
· 2 years ago
2022-07-07 1:50pm
v12
· 2 years ago
2022-07-07 1:07pm
v11
· 2 years ago
2022-07-05 2:11pm
v10
· 2 years ago
2022-07-04 1:06pm
v9
· 2 years ago
2022-07-01 1:20pm
v8
· 2 years ago
2022-07-01 12:57pm
v7
· 2 years ago
2022-05-05 5:11pm more insects labelled
v6
· 3 years ago
2022-05-01 1:40am abt 5 aug
v5
· 3 years ago
2022-04-29 4:12pm
v4
· 3 years ago
2022-04-28 12:25am 2 aug only
v3
· 3 years ago
2022-04-22 8:39am
v2
· 3 years ago
2022-04-22 7:54am
v1
· 3 years ago
v11
2022-07-07 1:07pm
Generated on Jul 7, 2022
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
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.
127 Total Images
View All Images
Dataset Split
Train Set 94%
120Images
Valid Set 6%
7Images
Test Set %
0Images
Preprocessing
Modify Classes: 0 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Rotation: Between -5° and +5°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Crop: 0% Minimum Zoom, 10% Maximum Zoom
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Exposure: Between -20% and +20%