datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
glaucoma-expert-cot-final
Glaucoma Expert Chain-of-Thought
Ophthalmologist six-step reasoning reports for fundus photographs, each paired with
a binary glaucoma label. 1,074 cases from LAG and Papila.
Files
file
rows
glaucoma / not
train.jsonl
823
304 / 519
val.jsonl
92
46 / 46
test.jsonl
159
79 / 80
images/
1,074
<source>_<id>.jpg
Record schema
{
"id": "1689",
"source": "LAG",
"image": "LAG_1689.jpg",
"split": "train",
"final_diagnosis_GT":… See the full description on the dataset page: https://huggingface.co/datasets/yuzhench/glaucoma-expert-cot-final.glaucoma-expert-cot-raw-1077
Glaucoma Expert Chain-of-Thought
Ophthalmologist six-step reasoning reports for fundus photographs, each paired with
a binary glaucoma label. 1,074 cases from LAG and Papila.
Files
file
rows
split
expert_cot_trainval.jsonl
915
train (823) + val (92)
expert_cot_test.jsonl
159
test
images/
1,074
<source>_<id>.jpg
Record schema
{
"id": "1689",
"source": "LAG",
"image": "LAG_1689.jpg",
"split": "train"… See the full description on the dataset page: https://huggingface.co/datasets/yuzhench/glaucoma-expert-cot-raw-1077.Fundus-CoT
Glaucoma Expert Chain-of-Thought
Ophthalmologist six-step reasoning reports for fundus photographs, each paired with
a binary glaucoma label. 1,074 cases from LAG and Papila.
Files
file
rows
glaucoma / not
train.jsonl
823
304 / 519
val.jsonl
92
46 / 46
test.jsonl
159
79 / 80
images/
1,074
<source>_<id>.jpg
Record schema
{
"id": "1689",
"source": "LAG",
"image": "LAG_1689.jpg",
"split": "train",
"final_diagnosis_GT":… See the full description on the dataset page: https://huggingface.co/datasets/harvardairobotics/Fundus-CoT.CottonWeedID15_classification
Cottonweedid15 Classification
This dataset contains real-world RGB images of 15 common weed species found in cotton agricultural fields, captured under natural field conditions. The images depict weeds growing in typical cotton crop environments, providing a practical resource for developing and evaluating computer vision models for weed identification in precision agriculture applications. The dataset contains 5,187 images across 15 classes: Carpetweeds, Crabgrass, Eclipta… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/CottonWeedID15_classification.cotton_leaf_disease_classification
Cotton Leaf Disease Classification
A dataset for disease classification of cotton leaves. The dataset contains both the raw data and augmented version.The raw data contains 1373 images distributed between the classes as follows:
Alternaria Leaf Spot: 173 images
Bacterial Blight: 218 images
Fusarium Wilt: 337 images
Healthy Leaf: 333 images
Verticillium Wilt: 312 images
The augmented data contains 4963 images, again distributed as follows:
Alternaria_Leaf: 987 images… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/cotton_leaf_disease_classification.cotton_leaf_disease_classification_bangladesh_2
Cotton Leaf Disease Classification Bangladesh 2
A dataset for disease classification of cotton leaves. The dataset contains raw and augmented versions.The raw dataset contains 2,137 images.Images per class:
Bacterial Blight: 250
Curl Virus: 431
Healthy Leaf: 257
Herbicide Growth Damage: 280
Leaf Hopper Jassids: 225
Leaf Redding: 578
Leaf Variegation: 116
The augmented dataset contains 7,000 images.Images per class:
Bacterial Blight: 1,000
Curl Virus: 1,000
Healthy Leaf: 1,000… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/cotton_leaf_disease_classification_bangladesh_2.Fire-CoT